Academic literature on the topic 'Histopathological tumor segmentation'
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Journal articles on the topic "Histopathological tumor segmentation"
Elidrissi, Sofyan, Ikram Ben Abdel Ouahab, Mohammed Bouhorma, and Fatiha Elouaai. "Unveiling the Clinical Significance of Microsatellite Instability in Colorectal Cancer: Deep Learning and the Segment Anything Model for Accurate Segmentation and Classification." International Journal of Online and Biomedical Engineering (iJOE) 21, no. 06 (2025): 97–110. https://doi.org/10.3991/ijoe.v21i06.54491.
Full textLiu, Yiqing, Qiming He, Hufei Duan, Huijuan Shi, Anjia Han, and Yonghong He. "Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images." Sensors 22, no. 16 (2022): 6053. http://dx.doi.org/10.3390/s22166053.
Full textZadeh Shirazi, Amin, Eric Fornaciari, Mark D. McDonnell, et al. "The Application of Deep Convolutional Neural Networks to Brain Cancer Images: A Survey." Journal of Personalized Medicine 10, no. 4 (2020): 224. http://dx.doi.org/10.3390/jpm10040224.
Full textvan der Kamp, Ananda, Thomas de Bel, Ludo van Alst, et al. "Automated Deep Learning-Based Classification of Wilms Tumor Histopathology." Cancers 15, no. 9 (2023): 2656. http://dx.doi.org/10.3390/cancers15092656.
Full textPark, Youngjae, Jinhee Park, and Gil-Jin Jang. "Efficient Perineural Invasion Detection of Histopathological Images Using U-Net." Electronics 11, no. 10 (2022): 1649. http://dx.doi.org/10.3390/electronics11101649.
Full textSun, Yibao, Zhaoyang Xu, Yihao Guo, et al. "Scale-Adaptive viable tumor burden estimation via histopathological microscopy image segmentation." Computers in Biology and Medicine 189 (May 2025): 109915. https://doi.org/10.1016/j.compbiomed.2025.109915.
Full textMutkule, Prasad R., Nilesh P. Sable, Parikshit N. Mahalle, and Gitanjali R. Shinde. "Histopathological parameter and brain tumor mapping using distributed optimizer tuned explainable AI classifier." Journal of Autonomous Intelligence 7, no. 5 (2024): 1617. http://dx.doi.org/10.32629/jai.v7i5.1617.
Full textAlthubaity, DaifAllah D., Faisal Fahad Alotaibi, Abdalla Mohamed Ahmed Osman, et al. "Automated Lung Cancer Segmentation in Tissue Micro Array Analysis Histopathological Images Using a Prototype of Computer-Assisted Diagnosis." Journal of Personalized Medicine 13, no. 3 (2023): 388. http://dx.doi.org/10.3390/jpm13030388.
Full textAltini, Nicola, Emilia Puro, Maria Giovanna Taccogna, et al. "Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability." Bioengineering 10, no. 4 (2023): 396. http://dx.doi.org/10.3390/bioengineering10040396.
Full textWu, Rujuan, Jiayi Yang, Qi Chen, et al. "Distinguishing of Histopathological Staging Features of H-E Stained Human cSCC by Microscopical Multispectral Imaging." Biosensors 14, no. 10 (2024): 467. http://dx.doi.org/10.3390/bios14100467.
Full textDissertations / Theses on the topic "Histopathological tumor segmentation"
Lerousseau, Marvin. "Weakly Supervised Segmentation and Context-Aware Classification in Computational Pathology." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG015.
Full textHuang, Pei-Chen, and 黃珮楨. "Real Time Automatic Lung Tumor Segmentation in Whole-slide Histopathological Images." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/2h8u6r.
Full textBook chapters on the topic "Histopathological tumor segmentation"
Lerousseau, Marvin, Maria Vakalopoulou, Marion Classe, et al. "Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59722-1_45.
Full textHieber, Daniel, Nico Haisch, Gregor Grambow, et al. "Comparing nnU-Net and deepflash2 for Histopathological Tumor Segmentation." In Studies in Health Technology and Informatics. IOS Press, 2024. http://dx.doi.org/10.3233/shti240487.
Full textSpiess, Ellena, Dominik Müller, Moritz Dinser, et al. "Automatic Segmentation of Histopathological Glioblastoma Whole-Slide Images Utilizing MONAI." In Studies in Health Technology and Informatics. IOS Press, 2025. https://doi.org/10.3233/shti250279.
Full textKim, Ho Heon, Won Chan Jeong, Youngjin Park, and Young Sin Ko. "Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning." In Studies in Health Technology and Informatics. IOS Press, 2025. https://doi.org/10.3233/shti250272.
Full textConference papers on the topic "Histopathological tumor segmentation"
Mezgebo, Biniyam, Joema Lima, Abdoljalil Addeh, et al. "Attention-Enhanced UNet for Automated Gleason Score 3 Tumor Segmentation in Histopathological Whole Slide Images." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10980899.
Full textHuang, Xiansong, Hongliang He, Pengxu Wei, Chi Zhang, Juncen Zhang, and Jie Chen. "Tumor Tissue Segmentation for Histopathological Images." In MMAsia '19: ACM Multimedia Asia. ACM, 2019. http://dx.doi.org/10.1145/3338533.3372210.
Full textMusulin, Jelena, Daniel Štifanić, Ana Zulijani, and Zlatan Car. "SEMANTIC SEGMENTATION OF ORAL SQUAMOUS CELL CARCINOMA ON EPITHELLIAL AND STROMAL TISSUE." In 1st INTERNATIONAL Conference on Chemo and BioInformatics. Institute for Information Technologies, University of Kragujevac, 2021. http://dx.doi.org/10.46793/iccbi21.194m.
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