Deep Convolution Neural Network Model to Predict Relapse in Breast Cancer
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8613701/8614025/08614084.pdf?arnumber=8614084
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. SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images;BMC Bioinformatics;2024-03-27
2. Predicting Pathological Complete Response in Breast Cancer from CT Images: An Integrated Pretrained Convolutional Neural Network and Machine Learning Framework;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15
3. Enabling personalised disease diagnosis by combining a patient’s time-specific gene expression profile with a biomedical knowledge base;BMC Bioinformatics;2024-02-07
4. GraphX-Net: A Graph Neural Network-Based Shapley Values for Predicting Breast Cancer Occurrence;IEEE Access;2024
5. Exploring Deep Learning Techniques in the Prediction of Cancer Relapse Using an Open Brazilian Tabular Database;Advances in Intelligent Systems and Computing;2024
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