Progress on deep learning in digital pathology of breast cancer: a narrative review
Author:
Publisher
AME Publishing Company
Subject
Surgery
Link
https://gs.amegroups.com/article/download/91882/pdf
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer;Expert Review of Molecular Diagnostics;2024-05-03
2. Current status and prospects of artificial intelligence in breast cancer pathology: convolutional neural networks to prospective Vision Transformers;International Journal of Clinical Oncology;2024-04-15
3. Ultrasound deep learning radiomics and clinical machine learning models to predict low nuclear grade, ER, PR, and HER2 receptor status in pure ductal carcinoma in situ;Gland Surgery;2024-04
4. LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine Learning and Image Processing;IEEE Access;2024
5. Multiple Magnification Learning: Breast Tumor Classification with Deep Learning from Histopathological Images Based on Multiple Instance Learning Concept;Lecture Notes in Networks and Systems;2024
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