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Eric Cosatto

Showing results (1-10 of 14) with videos related to

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Journal of Pathology Informatics|July 17, 2013
Classification of mitotic figures with convolutional neural networks and seeded blob featuresChristopher D Malon, Eric Cosatto
Archives of Pathology & Laboratory Medicine|November 6, 2009
Mitotic index of invasive breast carcinoma. Achieving clinically meaningful precision and evaluating tertial cutoffsJohn S Meyer, Eric Cosatto, Hans Peter Graf
Journal of Pathology Informatics|April 13, 2017
Pathological Diagnosis of Gastric Cancers with a Novel Computerized Analysis SystemKosuke Oikawa, Akira Saito, Tomoharu Kiyuna, et al.
Bioinformatics (Oxford, England)|September 4, 2024
Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNsTianci Song, Eric Cosatto, Gaoyuan Wang, et al.
Oncotarget|December 7, 2017
Automated histological classification of whole slide images of colorectal biopsy specimensHiroshi Yoshida, Yoshiko Yamashita, Taichi Shimazu, et al.
Journal of Pathology Informatics|March 9, 2016
Quantitative nucleic features are effective for discrimination of intraductal proliferative lesions of the breastMasatoshi Yamada, Akira Saito, Yoichiro Yamamoto, et al.
Journal of Pathology Informatics|October 1, 2016
A novel method for morphological pleomorphism and heterogeneity quantitative measurement: Named cell feature level co-occurrence matrixAkira Saito, Yasushi Numata, Takuya Hamada, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|June 4, 2017
Automated histological classification of whole-slide images of gastric biopsy specimensHiroshi Yoshida, Taichi Shimazu, Tomoharu Kiyuna, et al.
Analytical Cellular Pathology (Amsterdam)|October 4, 2011
Mitotic figure recognition: agreement among pathologists and computerized detectorChristopher Malon, Elena Brachtel, Eric Cosatto, et al.
Scientific Reports|April 26, 2017
Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approachYoichiro Yamamoto, Akira Saito, Ayako Tateishi, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Journal of Pathology Informatics|July 17, 2013
Classification of mitotic figures with convolutional neural networks and seeded blob featuresChristopher D Malon, Eric Cosatto
Archives of Pathology & Laboratory Medicine|November 6, 2009
Mitotic index of invasive breast carcinoma. Achieving clinically meaningful precision and evaluating tertial cutoffsJohn S Meyer, Eric Cosatto, Hans Peter Graf
Journal of Pathology Informatics|April 13, 2017
Pathological Diagnosis of Gastric Cancers with a Novel Computerized Analysis SystemKosuke Oikawa, Akira Saito, Tomoharu Kiyuna, et al.
Bioinformatics (Oxford, England)|September 4, 2024
Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNsTianci Song, Eric Cosatto, Gaoyuan Wang, et al.
Oncotarget|December 7, 2017
Automated histological classification of whole slide images of colorectal biopsy specimensHiroshi Yoshida, Yoshiko Yamashita, Taichi Shimazu, et al.
Journal of Pathology Informatics|March 9, 2016
Quantitative nucleic features are effective for discrimination of intraductal proliferative lesions of the breastMasatoshi Yamada, Akira Saito, Yoichiro Yamamoto, et al.
Journal of Pathology Informatics|October 1, 2016
A novel method for morphological pleomorphism and heterogeneity quantitative measurement: Named cell feature level co-occurrence matrixAkira Saito, Yasushi Numata, Takuya Hamada, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|June 4, 2017
Automated histological classification of whole-slide images of gastric biopsy specimensHiroshi Yoshida, Taichi Shimazu, Tomoharu Kiyuna, et al.
Analytical Cellular Pathology (Amsterdam)|October 4, 2011
Mitotic figure recognition: agreement among pathologists and computerized detectorChristopher Malon, Elena Brachtel, Eric Cosatto, et al.
Scientific Reports|April 26, 2017
Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approachYoichiro Yamamoto, Akira Saito, Ayako Tateishi, et al.
Pageof 2