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Prototypical Models for Classifying High-Risk Atypical Breast Lesions.

, , , , , , , , and . MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 143-152. Springer, (2021)

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Unsupervised Tissue Image Segmentation through Object-Oriented Texture., , and . ICPR, page 2516-2519. IEEE Computer Society, (2010)Cancer diagnosis by nuclear morphometry using spatial information., , , , , , and . Pattern Recognit. Lett., (2014)Novel computer-aided diagnosis of mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens., , , , and . Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410Z. SPIE, (2014)Multilevel Segmentation of Histopathological Images Using Cooccurrence of Tissue Objects., , , , and . IEEE Trans. Biomed. Eng., 59 (6): 1681-1690 (2012)Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images., , , , , , , and . MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 144-152. Springer, (2017)HistoMapr™: An Explainable AI (xAI) Platform for Computational Pathology Solutions., , , , , and . AI and ML for Digital Pathology, (2020)Object-oriented texture analysis and unsupervised segmentation for histopathological images (Histopatolojik imgelerde nesneye dayalı doku analizi ve öğreticisiz bölütleme). İhsan Doğramacı Bilkent University, Turkey, (2012)Graph Run-Length Matrices for Histopathological Image Segmentation., and . IEEE Trans. Med. Imaging, 30 (3): 721-732 (2011)Spatial Statistics for Segmenting Histological Structures in H&E Stained Tissue Images., , , , , and . IEEE Trans. Med. Imaging, 36 (7): 1522-1532 (2017)Modeling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions., , , , , , , and . MICCAI (5), volume 12265 of Lecture Notes in Computer Science, page 550-560. Springer, (2020)