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Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks.

, , , , , , , , и . ISBI, стр. 1-5. IEEE, (2022)

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Eun-sil Kang

Eun-Mi Hwang

Shelley Buchinger

Soong-Pyo Eun

Young-Ae Eun-Kwon

 

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Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks., , , , , , , , и . ISBI, стр. 1-5. IEEE, (2022)Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning., , , , , , , , , и . Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 105752R. SPIE, (2018)Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features., , , , , , , , и . Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 105750R. SPIE, (2018)Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?, , , , , , , и . Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101342X. SPIE, (2017)DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence., , , , , , , , , и 6 other автор(ы). AIIIMA/MIABID@MICCAI, том 13602 из Lecture Notes in Computer Science, стр. 164-175. Springer, (2022)Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features., , , , , , , и . Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101341I. SPIE, (2017)Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index., , , , , , и . Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography., , , , , , , и . Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Malignant microcalcification clusters detection using unsupervised deep autoencoders., , , , , , , , и . Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 109502Q. SPIE, (2019)