Breast Cancer Classification using Customized ResNet based Convolution Neural Networks
Author:
Affiliation:
1. Annamalai University,Department of ECE,Chidambaram,India
2. Annamalai University,Department of Information Technology,Chidambaram,India
3. Sree Vidyanikethan Engineering College,Department of ECE,Tirupati,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10059457/10059586/10060790.pdf?arnumber=10060790
Reference20 articles.
1. A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms
2. Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning
3. MommiNet-v2: Mammographic multi-view mass identification networks
4. A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening
5. Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients
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