BREAST CANCER DIAGNOSIS AND RECURRENCE PREDICTION USING MACHINE LEARNING TECHNIQUES
Author:
Publisher
eSAT Publishing House
Subject
General Engineering
Link
http://esatjournals.net/ijret/2015v04/i04/IJRET20150404066.pdf
Cited by 19 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. Comprehensive Analysis of Machine and Deep Learning Models for Breast Cancer Diagnosis and Risk Assessment with Diverse Datasets;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21
2. Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study;Journal of the Egyptian National Cancer Institute;2024-06-10
3. Quantitative Nuclei Analysis for Accurate Detection of Breast Abnormalities through Machine Learning;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01
4. Breast Cancer Prediction using Machine Learning Algorithms;2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT);2023-11-23
5. Real World Applications of Machine Learning in Health Care;Handbook of Artificial Intelligence;2023-11-09
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