2023
DOI: 10.1002/ctm2.1162
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Ensemble biomarkers for guiding anti‐angiogenesis therapy for ovarian cancer using deep learning

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Cited by 7 publications
(1 citation statement)
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“…Additionally, the advancement of computing technology and the availability of whole slide images (WSIs) have facilitated the use of computer-assisted diagnostics, revolutionizing the workflow for pathologists 22,23 . To tackle these biological challenges, convolutional neural networks (CNNs) have emerged as powerful tools 22,[24][25][26][27][28][29][30][31][32][33] . Supervised learning and weakly supervised learning are two commonly employed techniques in DL.…”
mentioning
confidence: 99%
“…Additionally, the advancement of computing technology and the availability of whole slide images (WSIs) have facilitated the use of computer-assisted diagnostics, revolutionizing the workflow for pathologists 22,23 . To tackle these biological challenges, convolutional neural networks (CNNs) have emerged as powerful tools 22,[24][25][26][27][28][29][30][31][32][33] . Supervised learning and weakly supervised learning are two commonly employed techniques in DL.…”
mentioning
confidence: 99%