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Reversed Active Learning based Atrous DenseNet for Pathological Image Classification.

, , , and . CoRR, (2018)

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GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis., , , , and . ICTAI, page 20-24. IEEE, (2018)Reversed Active Learning based Atrous DenseNet for Pathological Image Classification., , , and . CoRR, (2018)Deriving Polarimetry Feature Parameters to Characterize Microstructural Features in Histological Sections of Breast Tissues., , , , , , , and . IEEE Trans. Biomed. Eng., 68 (3): 881-892 (2021)DeepPap: Deep Convolutional Networks for Cervical Cell Classification., , , , , and . CoRR, (2018)Graph-based segmentation of abnormal nuclei in cervical cytology., , , , , and . Comput. Medical Imaging Graph., (2017)DeepPap: Deep Convolutional Networks for Cervical Cell Classification., , , , , and . IEEE J. Biomed. Health Informatics, 21 (6): 1633-1643 (2017)Automated segmentation of abnormal cervical cells using global and local graph cuts., , , , , and . ISBI, page 485-488. IEEE, (2014)Reverse active learning based atrous DenseNet for pathological image classification., , , and . BMC Bioinform., 20 (1): 445:1-445:15 (2019)Improved segmentation of abnormal cervical nuclei using a graph-search based approach., , , , and . Medical Imaging: Digital Pathology, volume 9420 of SPIE Proceedings, page 94200W. SPIE, (2015)