Interpretable and synergistic deep learning for visual explanation and statistical estimations...

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Deep weakly-supervised learning methods for classification and localization in histology images: a survey

J Rony, S Belharbi, J Dolz, IB Ayed, L McCaffrey… - arXiv preprint arXiv …, 2019 - arxiv.org
Using deep learning models to diagnose cancer from histology data presents several
challenges. Cancer grading and localization of regions of interest (ROIs) in these images …
被引用次数：85 相关文章 所有 7 个版本

DT-CTNet: A clinically interpretable diagnosis model for fetal distress

Y Zhang, Y Deng, X Zhang, P Jiao, X Zhang… - … Signal Processing and …, 2023 - Elsevier
Abstract Clinically, Fetal Heart Rate (FHR)-based intelligent cardiotocography classification
to diagnose fetal well-being is of utmost importance for obstetricians and gynecologists …
被引用次数：2 相关文章

[引用][C] Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Comparative Study

J Rony, S Belharbi, J Dolz, IB Ayed, L McCaffrey… - Medical Imaging with Deep …, 2023
被引用次数：1 相关文章