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Texture and Mathematical Morphology for Hot-Spot Detection in Whole Slide Images of Meningiomas and Oligodendrogliomas.

, , , and . CAIP (2), volume 9257 of Lecture Notes in Computer Science, page 1-12. Springer, (2015)

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Texture and Mathematical Morphology for Hot-Spot Detection in Whole Slide Images of Meningiomas and Oligodendrogliomas., , , and . CAIP (2), volume 9257 of Lecture Notes in Computer Science, page 1-12. Springer, (2015)Hot-spot selection and evaluation methods for whole slice images of meningiomas and oligodendrogliomas., , , and . EMBC, page 6252-6256. IEEE, (2015)Hourglass Shapes in Rank Grey-Level Hit-or-miss Transform for Membrane Segmentation in HER2/neu Images., , , , , and . ISMM, volume 9082 of Lecture Notes in Computer Science, page 3-14. Springer, (2015)Texture Analysis to Trophoblast and Villi Detection in Placenta Histological Images., , , and . ITIB (2), volume 472 of Advances in Intelligent Systems and Computing, page 183-192. Springer, (2016)Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning., , , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 1132010. SPIE, (2020)Image processing methods for the structural detection and gradation of placental villi., , , and . Comput. Biol. Medicine, (2018)Learning to detect lymphocytes in immunohistochemistry with deep learning., , , , , , , , , and 4 other author(s). Medical Image Anal., (2019)Contextual Classification of Tumor Growth Patterns in Digital Histology Slides., , , , , , , , and . ITIB, volume 1011 of Advances in Intelligent Systems and Computing, page 13-25. Springer, (2019)HE-to-PAS histological stain conversion by GAN in renal pathology., , , , , and . IJCNN, page 1-7. IEEE, (2022)A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma., , , , , , , , , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 113200D. SPIE, (2020)