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Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images.

, , , , , , and . Sensors, 22 (11): 4061 (2022)

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Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images., , , , , , and . Sensors, 22 (11): 4061 (2022)NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images., , , , , , , , and . BIBM, page 865-870. IEEE, (2020)Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network., , , , , , , , , and . BIBM, page 920-925. IEEE, (2019)Richer fusion network for breast cancer classification based on multimodal data., , , , , , , , , and 1 other author(s). BMC Medical Informatics Decis. Mak., 21 (1): 134 (2021)Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification., , , , , , , , and . ICIC (3), volume 12838 of Lecture Notes in Computer Science, page 198-207. Springer, (2021)A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification., , , , , , , , and . BIBM, page 957-962. IEEE Computer Society, (2018)Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method., , , , , , , , , and . ICIC (1), volume 11643 of Lecture Notes in Computer Science, page 460-469. Springer, (2019)