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Relevant bibliographies by topics / Inter-observer Variation

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Academic literature on the topic 'Inter-observer Variation'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Inter-observer Variation"

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Lam, Andrew K. C., Chun-fai Lam, Wai-kit Leung, and Pui-kwan Hung. "Intra-observer and inter-observer variation of Hertel exophthalmometry." Ophthalmic and Physiological Optics 29, no. 4 (2009): 472–76. http://dx.doi.org/10.1111/j.1475-1313.2008.00617.x.

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Compston, J. E., S. Vedi, and A. J. Stellon. "Inter-observer and intra-observer variation in bone histomorphometry." Calcified Tissue International 38, no. 2 (1986): 67–70. http://dx.doi.org/10.1007/bf02556831.

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Jørsboe, Hanne, Maya Schrøder, Marianne Barylak, and Philip Anderson. "Inter-observer variation in the triage-process." Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 18, Suppl 1 (2010): P16. http://dx.doi.org/10.1186/1757-7241-18-s1-p16.

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Gasperini, C., M. Rovaris, M. P. Sormani, et al. "Intra-observer, inter-observer and inter-scanner variations in brain MRI volume measurements in multiple sclerosis." Multiple Sclerosis Journal 7, no. 1 (2001): 27–31. http://dx.doi.org/10.1177/135245850100700106.

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Introduction: Measurement of brain volume on magnetic resonance imaging (MRI) scans is regarded as an objective marker of multiple sclerosis (MS) severity with the potential to monitor treatment efficacy accurately. This study was performed to assess the variability of brain MRI volume measurements. Patients and methods: We studied nine patients with relapsing-remitting MS, who were imaged on two occasions (separated by an interval of 24 h) using two different MR scanners and fast fluid-attenuated inversion recovery (fast-FLAIR) sequences. The whole brain volume computed from each image was me

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Hadoura, L., C. Douglas, G. W. McGarry, and D. Young. "Mapping surgical coordinates of the sphenopalatine foramen: surgical navigation study." Journal of Laryngology & Otology 123, no. 7 (2009): 742–45. http://dx.doi.org/10.1017/s0022215109004344.

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AbstractObjectives:To identify measurements that may help intra-operative localisation of the sphenopalatine foramen.Design:The study used three-dimensional surgical navigation software to study radiological anatomy, in order to define the distances and angulations between identifiable bony landmarks and the sphenopalatine foramen.Results:The distance from the anterior nasal spine to the sphenopalatine foramen was 59 mm (±4 mm; inter-observer variation = 0.866; intra-observer variation = 0.822). The distance from the piriform aperture to the sphenopalatine foramen was 48 mm (±4 mm; inter-obser

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Wright, C. D. P., S. Vedi, N. J. Garrahan, M. Stanton, S. W. Duffy, and J. E. Compston. "Combined inter-observer and inter-method variation in bone histomorphometry." Bone 13, no. 3 (1992): 205–8. http://dx.doi.org/10.1016/8756-3282(92)90198-6.

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Charalambous, CP, M. Tryfonidis, F. Alvi, et al. "Inter- and Intra-Observer Variation of the Schatzker and AO/OTA Classifications of Tibial Plateau Fractures and a Proposal of a New Classification System." Annals of The Royal College of Surgeons of England 89, no. 4 (2007): 400–404. http://dx.doi.org/10.1308/003588407x187667.

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INTRODUCTION The aim of this study was to evaluate the intra- and inter-observer variation of the Schatzker and AO/OTA classifications in assessing tibial plateau fractures, using plain radiographs. PATIENTS AND METHODS Fifty tibial plateau fractures were classified independently by six observers as per the Schatzker and AO/OTA classifications, using antero-posterior and lateral plain radiographs. Assessment was done on two occasions, 8 weeks apart. RESULTS We found that both the Schatzker and AO/OTA classifications have a high intra-observer (κ = 0.57 and 0.53, respectively), and inter-observ

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Arimoto, Maya Kato, Yuji Nakamoto, Tatsuya Higashi, Takayoshi Ishimori, Mana Ishibashi, and Kaori Togashi. "Intra- and inter-observer agreement in the visual interpretation of interim 18F-FDG PET/CT in malignant lymphoma: influence of clinical information." Acta Radiologica 59, no. 10 (2018): 1218–24. http://dx.doi.org/10.1177/0284185117751279.

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Background Interim PET/CT is widely performed in lymphoma patients in clinical practice and clinical trials. Visual assessment using a 5-point scale is proposed for PET/CT interpretation, but intra- and inter-observer variation is not fully investigated. Purpose To investigate intra- and inter-observer variations in the reporting of interim positron emission tomography/computed tomography (PET/CT) in lymphoma patients, and the influence of clinical information on the interpretation. Material and Methods Three expert readers from different institutions interpreted interim PET/CT images of 42 co

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Enke, C., K. Ayyangar, C. B. Saw, W. Zhen, R. B. Thompson, and N. V. Raman. "Inter-observer variation in prostate localization utilizing BAT." International Journal of Radiation Oncology*Biology*Physics 54, no. 2 (2002): 269. http://dx.doi.org/10.1016/s0360-3016(02)03521-6.

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Pyott, A. A. E., and D. M. I. Montgomery. "Inter-observer variation in clinical optic disc biometry." Eye 7, no. 3 (1993): 452–56. http://dx.doi.org/10.1038/eye.1993.91.

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Dissertations / Theses on the topic "Inter-observer Variation"

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Arimoto, Maya. "Intra- and inter-observer agreement in the visual interpretation of interim 18F-FDG PET/CT in malignant lymphoma: influence of clinical information." Kyoto University, 2018. http://hdl.handle.net/2433/233833.

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Book chapters on the topic "Inter-observer Variation"

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Visser, Martin, Domenique Müller, Niels Verburg, et al. "Inter-observer variation in segmenting glioma on MRI before and after resection." In EMBEC & NBC 2017. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5122-7_41.

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Hakulinen, U., A. Brander, P. Ryymin, et al. "Intra- and Inter-observer Variation of Region-of-Interest Methods in Quantitative Clinical Diffusion Tensor Imaging." In IFMBE Proceedings. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23508-5_143.

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Kumar, Rajesh, and Rajeev Srivastava. "Detection of Cancer from Microscopic Biopsy Images Using Image Processing Tools." In Research Developments in Computer Vision and Image Processing. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4558-5.ch010.

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Presently, most cancer diagnosis is based on human visual examination of images in a qualitative manner. Human visual grading for microscopic biopsy images is very time-consuming, subjective, and inconsistent due to inter-and intra-observer variations. A more quantitative and reproducible approach for analyzing biopsy images is highly desired. In biopsy images, the characteristics of nuclei are the key to estimate the degree of malignancy. The microscopic biopsy images always suffer from the problem of impurities, undesirable elements, and uneven exposure. Thus, there is a need of an automatic

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Bozkurt Selen, Gulkesen Kemal Hakan, and Rubin Daniel. "Annotation for Information Extraction from Mammography Reports." In Studies in Health Technology and Informatics. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-276-9-183.

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Inter and intra-observer variability in mammographic interpretation is a challenging problem, and decision support systems (DSS) may be helpful to reduce variation in practice. Since radiology reports are created as unstructured text reports, Natural language processing (NLP) techniques are needed to extract structured information from reports in order to provide the inputs to DSS. Before creating NLP systems, producing high quality annotated data set is essential. The goal of this project is to develop an annotation schema to guide the information extraction tasks needed from free-text mammog

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Ramos L., Barreira N., Mosquera A., et al. "Adaptive parameter computation for the automatic measure of the Tear Break-Up Time." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-105-2-1370.

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Dry eye syndrome is a common disorder of the tear film, affecting a significant percentage of the population. The Break-Up Time (BUT) is a clinical test used for the diagnosis of this disease. In this work, we propose several improvements for the automatic computation of the BUT measure that solve the limitations of previous approaches. In particular, we present several procedures for the automatic computation of some parameters involved in the BUT measurement, such as the eye size, the intensity variation, or the starting point of the measurement frame sequence. We have tested our methodology

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Forkert Nils Daniel, Säring Dennis, Wenzel Karolin, Illies Till, Fiehler Jens, and Handels Heinz. "Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images." In Studies in Health Technology and Informatics. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-044-5-816.

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In this paper an automatic fuzzy based method for the extraction of the cerebrovascular system from 3D Time-of-Flight (TOF) MRA image sequences is presented. In order to exclude non-brain tissue an automatic skull stripping method is applied in a preprocessing step. Based on the TOF images vesselness and maximum parameter images are computed first. These parameter images are then combined with the TOF sequence using a fuzzy inference. The resulting fuzzy image offers an improved enhancement of small as well as malformed vessels against the remaining brain. Finally, the fuzzy-connectedness appr

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Mohamed Al-Zorgani, Maisun, Hassan Ugail, Klaus Pors, and Abdullahi Magaji Dauda. "Deep Learning-Based Segmentation of Cellular Membranes in Colorectal Immunohistochemical Images." In Molecular Histopathology and Cytopathology [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.108589.

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The segmentation of cellular membranes is essential for getting crucial information in diagnosing several cancers, including lung, breast, colon, gastric cancer, etc. Manual segmentation of cellular membranes is a tedious, time-consuming routine and prone to error and inter-observer variation. So, it is one of the challenges that pathologists face in immunohistochemical (IHC) tissue images. Although automated segmentation of cellular membranes has recently gained considerable attention in digital pathology applications, little research is based on machine learning approaches. Therefore, this s

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Westgate, Jenny. "Computerizing the Cardiotocogram (CTG)." In Medical Informatics in Obstetrics and Gynecology. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-078-3.ch010.

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During pregnancy the fetus requires an adequate supply of oxygen and clearance of carbon dioxide which is a waste product of metabolism. In fetal life, the placenta provides this function. After birth the lungs are aerated and perform this. If there is a failure to transport these chemicals across the placenta, the fetus can become hypoxic and acidotic, which can lead to permanent brain damage. In the neonate this can manifest in a number of ways, but most seriously cerebral palsy. Assessment of the fetal heart rate has been shown to identify fetuses where this maybe occurring. However the int

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Spain, Lucy, and David Cheneler. "Acoustic Monitoring of Joint Health." In Data Acquisition - Recent Advances and Applications in Biomedical Engineering. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.92868.

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The joints of the human body, especially the knees, are continually exposed to varying loads as a person goes about their day. These loads may contribute to damage to tissues including cartilage and the development of degenerative medical conditions such as osteoarthritis (OA). The most commonly used method currently for classifying the severity of knee OA is the Kellgren and Lawrence system, whereby a grade (a KL score) from 0 to 4 is determined based on the radiographic evidence. However, radiography cannot directly depict cartilage damage, and there is low inter-observer precision with this

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Raghunath Sushravya, Rajagopalan Srinivasan, Karwoski Ronald A., Larson Alan G., Bartholmai Brian J., and Robb Richard A. "Detail-on-Demand Visualization for Lean Understanding of Lung Abnormalities." In Studies in Health Technology and Informatics. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-022-2-362.

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In some respects, the lung is an anatomical bog - having limited referential landmarks. Nonetheless, precise understanding of the abnormalities that inflict this organ is crucial to effective clinical diagnosis and treatment. However, wading interactively through a three-dimensional scan of the lung poses a visual quagmire to the radiologist, resulting in significant interpretive differences due to inter and intra observer variation. Despite the continuing progress in quantitative imaging, lack of unambiguous visualization with accurately, relevant cues severely hinders the clinical adoption o

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Conference papers on the topic "Inter-observer Variation"

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Jacob, J., C. Owens, A. S. Brody, et al. "Evaluation of Inter-Observer Variation for CT Identification of Childhood Interstitial Lung Disease." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a4380.

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Singal, Ashish, Ziad Taimeh, Gretchen Peichel, Dean Krueger, Peter Eckman, and Uma Valeti. "Assessment of Intra and Inter-Observer Variability of Peripheral Arterial Tonometry Measurements." In 2018 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dmd2018-6801.

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Importance of repeatable and reproducible measurements in medicine cannot be understated [1]. In this investigation, we quantified repeatability (intra-observer variability) and reproducibility (inter-observer variability) while measuring peripheral arterial tonometry (PAT) signals from finger tips of healthy subjects using piezoelectric transducers. Although numerous techniques for measuring PAT have been described in literature, the repeatability and reproducibility of these measurements, and the variability in multiple probes have not been established. We hypothesize that: (1) PAT measureme

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Smith, Isaiah E., Amanda Lynn Godbold, and David J. Bottjer. "QUANTIFYING THE INFLUENCE OF INTER-OBSERVER VARIATION AND MEDIUM TYPE (THIN-SECTION VERSUS POLISHED SLAB) ON ALPHA DIVERSITY ESTIMATES." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-337566.

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Engelke, Ulrich, Anthony Maeder, and Hans-Jurgen Zepernick. "Analysing inter-observer saliency variations in task-free viewing of natural images." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5651009.

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Buelow, Thomas, Harald S. Heese, Ruediger Grewer, Dominik Kutra, and Rafael Wiemker. "Inter- and intra-observer variations in the delineation of lesions in mammograms." In SPIE Medical Imaging, edited by Claudia R. Mello-Thoms and Matthew A. Kupinski. SPIE, 2015. http://dx.doi.org/10.1117/12.2077516.

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Liu, Xiaofeng, Fangxu Xing, Thibault Marin, Georges El Fakhri, and Jonghye Woo. "Variational inference for quantifying inter-observer variability in segmentation of anatomical structures." In Image Processing, edited by Ivana Išgum and Olivier Colliot. SPIE, 2022. http://dx.doi.org/10.1117/12.2604547.

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Song, Wei, Li Fan, Yongming Xie, Jian-Zhong Qian, and Zhenyu Jin. "A study of inter-observer variations of pulmonary nodule marking and characterizing on DR images." In Medical Imaging, edited by Miguel P. Eckstein and Yulei Jiang. SPIE, 2005. http://dx.doi.org/10.1117/12.597006.

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Murienne, Barbara J., Michael J. Girard, Lise Loerup, et al. "An Automated Histologic System for 3D Histomorphometry of the Mouse Knee." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53443.

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Osteoarthritis (OA) is a degenerative joint disease that is a leading cause of adult pain and disability in Western countries1. Clinically, several structural features of the joint are important in diagnosis, prognosis and evaluation of treatment efficacy, e.g. cartilage volume, homogeneity and joint space narrowing2,3. In animal models of OA, structural features such as bone defects and cartilage changes are commonly investigated using histomorphometry, a technique that uses stereological point counting and manual tracing of regions of interest to extract 3-dimensional (3D) geometrical proper

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