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Littérature scientifique sur le sujet « MRI spine »

Auteur : Grafiati
Publié le 7 juin 2025
Mis à jour le 2 août 2025

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Articles de revues sur le sujet "MRI spine"

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Pai S, Anoosha, Honglin Zhang, Nima Ashjaee, et al. "Estimation and assessment of sagittal spinal curvature and thoracic muscle morphometry in different postures." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 235, no. 8 (2021): 883–96. http://dx.doi.org/10.1177/09544119211014668.

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Spine models are typically developed from supine clinical imaging data, and hence clearly do not fully reflect postures that replicate subjects’ clinical symptoms. Our objectives were to develop a method to: (i) estimate the subject-specific sagittal curvature of the whole spine in different postures from limited imaging data, (ii) obtain muscle lines-of-action in different postures and analyze the effect of posture on muscle fascicle length, and (iii) correct for cosine between the magnetic resonance imaging (MRI) scan plane and dominant fiber line-of-action for muscle parameters (cross-secti
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Slawson, S. Horatio. "MRI of the Spine." Radiology 195, no. 3 (1995): 836. http://dx.doi.org/10.1148/radiology.195.3.836.

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Hardy, R. W. "MRI of the Spine." Neurology 44, no. 8 (1994): 1562. http://dx.doi.org/10.1212/wnl.44.8.1562-b.

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Smith, Keith. "MRI of the Spine." Topics in Magnetic Resonance Imaging 6, no. 4 (1994): 275???277. http://dx.doi.org/10.1097/00002142-199400640-00007.

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Kerslake, R. W., and B. S. Worthington. "MRI of the spine." Clinical Radiology 43, no. 4 (1991): 227–33. http://dx.doi.org/10.1016/s0009-9260(05)80243-0.

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Collins, C. D., and J. P. Stack. "Mri of the spine." Clinical Radiology 44, no. 5 (1991): 363. http://dx.doi.org/10.1016/s0009-9260(05)81282-6.

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SHALEV, RUTH. "MRI of the Spine." European Journal of Paediatric Neurology 5, no. 3 (2001): 136. http://dx.doi.org/10.1053/ejpn.2001.0487.

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Castillo, Mauricio, and Zoran Rumboldt. "MRI of the Spine." Academic Radiology 9, no. 3 (2002): 352–53. http://dx.doi.org/10.1016/s1076-6332(03)80380-x.

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Holmes, Gregory L. "MRI of the spine." Journal of Epilepsy 7, no. 3 (1994): 247. http://dx.doi.org/10.1016/0896-6974(94)90043-4.

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Butt, Paul. "MRI of the spine." Current Orthopaedics 10, no. 3 (1996): 205. http://dx.doi.org/10.1016/s0268-0890(96)90013-4.

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Thèses sur le sujet "MRI spine"

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Ries, Mario. "Diffusion MRI of human spine and kidney : Technological aspects and interpretation." Bordeaux 1, 2001. http://www.theses.fr/2001BOR12360.

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La mesure locale de la constante de diffusion fournit des informations sur l'environ-nement microscopique cellulaire des molécules d'eau. L'information sur la microstructure issue des images IRM de diffusion peut servir à déterminer la structure des fibres neu-ronales. Bien que cette possibilité soit très prometteuse pour le diagnostic, son applica-tion en routine clinique a été jusqu'à ce jour rendue difficile par le fait que la géométrie complexe des structures fibreuses du cerveau complique le traitement des données et l'interprétation des résultats. Le travail présenté dans cet ouvrage a é
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Lootus, Meelis. "Automated radiological analysis of spinal MRI." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:5820edfd-fe18-4f3c-9db3-204db75c09c2.

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This thesis addresses the problem of analysing clinical MRI using modern computer vision methods for a variety of clinical and research-related tasks. We use automated machine learning algorithms to develop a spinal MRI analysis framework for a number of tasks such as vertebrae detection, labelling; disc and vertebrae segmentation, and radiological grading, and we validate the framework on a large, heterogeneous dataset of 300 symptomatic back pain patients from multiple clinical sites and scanners. Our framework has a number of back pain research and other spine-related clinical applications
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Dalca, Adrian Vasile. "Segmentation of nerve bundles and ganglia in spine MRI using particle filters." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/75654.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 41-44).<br>Automatic segmentation of spinal nerve bundles originating within the dural sac and exiting the spinal canal is important for diagnosis and surgical planning. The variability in intensity, contrast, shape and direction of nerves seen in high resolution myelographic MR images makes segmentation a challenging task. In this thesis, we present an automatic tracking method for segmentation of
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ZHONG, JIA. "AUTOMATED VERTEBRA SEGMENTATION AND QUANTIFICATION ALGORITHM OF WHOLE SPINE MR IMAGES." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1090849508.

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Leisti, E. L. (Eeva-Liisa). "Radiologic findings of the head and spine in neurofibromatosis 1 (NF1) in Northern Finland." Doctoral thesis, University of Oulu, 2003. http://urn.fi/urn:isbn:9514271394.

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Abstract Imaging of the head and spine with CT and/or MRI was performed on 125 Northern Finnish NF1 patients to evaluate the CNS lesions in patients of different ages and their role in diagnosis and follow-up. Manifestations of NF1 in the head were more common in children than in adults. 77% of the children and 33% of the adults had T2 hyperintense brain lesions. Optic gliomas were present in 29% of the patients, in 44% of the children and 10 % of the adults. 8% of the patients had other intracranial tumours . Spinal lesions were seen in 75% of the patients. Hyperintense T2 lesions were mos
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Fleming, Mark Alexander. "How does pre-reduction MRI affect surgeon's behaviour when reducing Distraction-Flexion injuries of the cervical spine?" Master's thesis, University of Cape Town, 2013. http://hdl.handle.net/11427/2840.

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Benitez, Mendieta Jessica. "An efficient and semiautomatic segmentation method for 3D surface reconstruction of the lumbar spine from Magnetic Resonance Imaging (MRI)." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/101274/1/Jessica_Benitez%20Mendieta_Thesis.pdf.

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A new semiautomatic technique for the segmentation and reconstruction of 3D vertebral anatomy from MRI is presented where five cadaveric human lumbar spines and one ovine spine were used. The MR images were subjected to contrast enhancement, anisotropic diffusion filtering, and thresholding was selected as the preferable segmentation technique to create 3D surfaces from the MRI datasets. The reconstructions were manually cleaned using commercial software. The resulting reconstructed surface included discrete vertebral bodies with distinct separation between the spinous processes. CT reconstruc
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Jennings, Hardy Alastair. "Three-dimensional analysis of vertebral growth and deformity progression in adolescent idiopathic scoliosis using Mri." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/207063/1/Hardy_Jennings_Thesis.pdf.

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This thesis is a study assessing the three-dimensional growth at the apical vertebral body in adolescent idiopathic scoliosis (AIS). It utilized a novel reconstruction and alignment technique utilizing non-harmful magnetic resonance imaging scans to quantitively demonstrate growth asymmetry in AIS patients with progressive deformity, with aims to further understanding of the progressive deformity in this condition.
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Keenan, Bethany Elin. "Medical imaging and Biomechanical analysis of scoliosis progression in the growing adolescent spine." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/84532/1/Bethany%20Elin_Keenan_Thesis.pdf.

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Progression of spinal deformity in children was studied with Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) to identify how gravity affects the deformity and to determine the full three-dimensional character of the deformity. The CT study showed that gravity is significant in deformity progression in some patients which has implications for clinical patient management. The world first MRI study showed that the standard clinical measure used to define the extent of the deformity is inadequate and further use of three-dimensional MRI should be considered by spinal surgeons.
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Pettersson, Kurt. "Whiplash injury : a clinical, radiographic and psychological investigation." Doctoral thesis, Umeå universitet, Ortopedi, 1996. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-96904.

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Whiplash injury is a common and troublesome disorder and approximately 10-40 per cent of its victims develop chronic symptoms. The annual incidence is estimated at 1/1000 inhabitants and the prevalence at 1%. The cause of chronic symptoms after whiplash injury is still unknown and no effective treatment has been presented so far. The present study is divided into two parts; the first part includes clinical, radiographic and psychological investigations, and the second part the effect of surgical intervention as well as intervention with medication. MRI studies (n=39) showed a larger proportion
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Livres sur le sujet "MRI spine"

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D’Aprile, Paola. MRI of Rheumatic Spine. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05627-2.

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Morrison, William B., John A. Carrino, and Adam E. Flanders, eds. MRI of the Spine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43627-8.

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E, St Amour Thomas, ed. MRI of the spine. Raven Press, 1994.

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D'Aprile, Paola, and Alfredo Tarantino. MRI of the Rheumatic Spine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32996-9.

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A, Cohen Wendy, ed. MRI atlas of the spine. Raven Press, 1991.

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Rao, Krishna C. V. G., ed. MRI and CT of the spine. Williams & Wilkins, 1994.

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D'Aprile, Paola, and Alfredo Tarantino. MRI of Degenerative Disease of the Spine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73707-8.

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D'Aprile, Paola. MRI of Degenerative Disease of the Spine. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09447-2.

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Wimmer, B. Trauma of the spine: CT and MRI. Springer-Verlag, 1990.

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Valk, Jaap. MRI of the Brain, Head, Neck and Spine. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3351-4.

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Chapitres de livres sur le sujet "MRI spine"

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Doulatram, Gulshan. "MRI Spine." In Data Interpretation in Anesthesia. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55862-2_51.

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Grenier, N., J. F. Chateil, P. Kien, H. Kressel, J. M. Caille, and J. Broussin. "Spine." In MRI of the Body. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-87556-4_21.

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Desai, Vishal, and Jehan Ghany. "MRI Protocol." In MRI of the Spine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43627-8_1.

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D’Aprile, Paola. "MRI in Spondyloarthritis." In MRI of Rheumatic Spine. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05627-2_2.

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Gaviola, Glenn C., and Nehal A. Shah. "Lumbar Spine Imaging: MRI." In Pain Medicine. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43133-8_27.

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Utomo, Sri Andreani, Paulus Rahardjo, Swee Tian Quek, and Wilfred C. G. Peh. "Spine Trauma: MRI Pitfalls." In Pitfalls in Musculoskeletal Radiology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53496-1_14.

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Karambelkar, Ajit. "MRI in Spine Anatomy." In MRI of the Spine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43627-8_2.

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Duy, Phan Q., Ichiro Ikuta, Michele H. Johnson, Melissa Davis, and Vahe M. Zohrabian. "MRI in Spine Trauma." In MRI of the Spine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43627-8_3.

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Jesse, M. K., and Corey K. Ho. "MRI in Spine Infection." In MRI of the Spine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43627-8_5.

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D’Aprile, Paola, and Alfredo Tarantino. "MRI in Postoperative Spine." In MRI of Degenerative Disease of the Spine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73707-8_3.

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Actes de conférences sur le sujet "MRI spine"

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He, Mu, Xiaohan Hao, Lei Guo, Mengdie Song, and Bensheng Qiu. "Weakly-supervised Learning Based Spine Instance Segmentation for MRI Planning." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889594.

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Bamoria, Harsh, Dharmendra Sharma, Sandeep Kumar Tiwari, and Shashank Shwami. "MRI Lumbar Spine Disease Classification Using Deep Visual Transformer Model." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10985701.

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Yousef, Mina, and Essam A. Rashed. "SliceInsightNet: Advanced Hybrid Image Segmentation for Spine Annotation in MRI." In 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS). IEEE, 2024. https://doi.org/10.1109/fmlds63805.2024.00018.

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He, Junjie, Kun Li, Juan Qin, Yuehui Ji, Dan Xia, and Xulong Fu. "MSRUNet: Multiscale Residual U-Net Network for Spine MRI Image Segmentation." In 2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA). IEEE, 2024. http://dx.doi.org/10.1109/ccssta62096.2024.10691809.

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Wu, Jiwen, Bing Qin, Xiaoyu Zhang, Jiatong Zhu, Zhiyu Qian, and Qiaoqiao Zhu. "An unsupervised domain adaptation method for cross-modality spine MRI segmentation." In 2024 4th International Conference on Electrical Engineering and Control Science (IC2ECS). IEEE, 2024. https://doi.org/10.1109/ic2ecs64405.2024.10928517.

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Erukala, Mahender, and Suresh Kumar Sanampudi. "Lumbar Spine MRI Images Quality Enhancement through Contrast Limited Adaptive Histogram Equalization." In 2024 5th International Conference on Communication, Computing & Industry 6.0 (C2I6). IEEE, 2024. https://doi.org/10.1109/c2i663243.2024.10894837.

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Bhagoji, Akash Gurusiddappa, Rashmi Benni, Prateek Shivanand Patted, and Shashank Alagawadi. "Statistical Modeling of Spine MRI: GMM and AGMM-Based Segmentation for Lumbar Angle Classification." In 2024 IEEE Conference on Engineering Informatics (ICEI). IEEE, 2024. https://doi.org/10.1109/icei64305.2024.10912157.

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Jin, Shuhua, Jinjin Hai, Shijie Wei, et al. "Multi-Sequence MRI Thoracic Spine Compression Fracture Classification Based on Local-Global Feature Selection and Cross-Attention Fusion." In 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025. https://doi.org/10.1109/icaace65325.2025.11019355.

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Salem, Saied, Raza Mukhlis, Oguzhan Katar, Bilal Ertuğrul, Ozal Yildirim, and Mugahed A. Al-Antari. "A Novel AI-based Hybrid Ensemble Segmentation CAD System for Lumber Spine Stenosis pathological Regions Using MRI Axial Images." In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2024. http://dx.doi.org/10.1109/idap64064.2024.10710814.

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Limantara, Rudi, Yosi Kristian, Esther Irawati Setiawan, David Cahyadi, I. Gusti Lanang Ngurah Agung Artha Wiguna, and Maria Florencia Deslivia. "SpinalAI: A Deep Learning Approach to Predict Vertebrae-Column Level, Structure, and Foraminal on Cervical Spine Axial MRI Images." In 2024 7th International Conference on Informatics and Computational Sciences (ICICoS). IEEE, 2024. http://dx.doi.org/10.1109/icicos62600.2024.10636887.

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Rapports d'organisations sur le sujet "MRI spine"

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Bogdan, Alex, and Nikki Soo. Survey of consumer practices with respect to coated frozen chicken products. Food Standards Agency, 2021. http://dx.doi.org/10.46756/sci.fsa.hrb725.

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The Food Standards Agency (FSA) is investigating a spike in Salmonella cases in the UK linked to the consumption of coated frozen chicken products. In March 2021, FSA, in collaboration with Food Standards Scotland (FSS) commissioned Ipsos MORI to conduct an online survey in order to identify consumer behaviours which could increase their risk to foodborne disease. The key research questions were: •Which consumers are purchasing coated frozen chicken products? •How do consumers store and cook these products? •Do consumers follow packaging instructions when cooking and storing these products?•Ar
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The launch of the ASSAf inclusivity initiative for gender equity and persons with disabilities as part of the Science Forum South Africa 2023 panel discussion. Academy of Science of South Africa (ASSAf), 2024. http://dx.doi.org/10.17159/assaf.2024/101.

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Gender equity, disability and inclusivity are human rights issues, and the South African Constitution enshrines the rights of citizens at all levels. The Sustainable Development Goals 5 and 10 promote gender equality and reduced inequalities, respectively. Furthermore, the South Africa’s Decadal Plan in science, technology and innovation (STI) calls for the creation of an inclusive economy and equity ambitions set by the Gender- Responsive Planning Budgeting, Monitoring, Evaluation and Auditing Framework. In spite of these legislative prerogatives, initiatives to promote the participation of w
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