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Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection.

, , , , , , , , and . Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410B. SPIE, (2014)

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Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection., , , , , , , , and . Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410B. SPIE, (2014)Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis., , , , , , , and . Comput. Medical Imaging Graph., (2015)A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images., , , , and . Neurocomputing, (2016)Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks., , , , , , , , and . Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 904103. SPIE, (2014)A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images., , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 6 (3): 270-276 (2018)Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images., , , , and . Medical Imaging: Digital Pathology, volume 9791 of SPIE Proceedings, page 979106. SPIE, (2016)