A similarity study of content-based image retrieval system for breast cancer using decision tree

Author:

Cho Hyun-chong,Hadjiiski Lubomir,Sahiner Berkman,Chan Heang-Ping,Helvie Mark,Paramagul Chintana,Nees Alexis V.

Funder

U.S. Public Health Service

Publisher

Wiley

Subject

General Medicine

Cited by 7 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. Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction;2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON);2022-10-12

2. Breast Cancer Detection and Classification: A Comparative Analysis Using Machine Learning Algorithms;Proceedings of Third International Conference on Communication, Computing and Electronics Systems;2022

3. Content-based Image Retrieval for Breast Ultrasound Images using Convolutional Autoencoders: A Feasibility Study;2019 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART);2019-04

4. Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review;Computer Methods and Programs in Biomedicine;2018-03

5. Gpf4Med: A Large-Scale Graph Processing System Applied to the Study of Breast Cancer;2015 IEEE 18th International Conference on Computational Science and Engineering;2015-10

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