A Deep Learning and Feature Optimization-Based Approach for Early Breast Cancer Detection
Author:
Affiliation:
1. Madhyanchal Professional University,Department of Computer Science and Engineering,Bhopal,MP,India
2. MPU Bhopal,Department of E&C,Bhopal,MP,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10481805/10481679/10482104.pdf?arnumber=10482104
Reference10 articles.
1. SPAER: Sparse Deep Convolutional Autoencoder Model to Extract Low Dimensional Imaging Biomarkers for Early Detection of Breast Cancer Using Dynamic Thermography
2. Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling
3. Detection of Breast Cancer Through Clinical Data Using Supervised and Unsupervised Feature Selection Techniques
4. Deep Learning-Based Mammogram Classification for Breast Cancer Diagnosis Using Multi-level Support Vector Machine
5. Intelligent Breast Cancer Prediction Empowered with Fusion and Deep Learning
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1. An Introductory Implementation of Breast Cancer Detection from Mammograms and Pixel Intensity with Efficient-Net Other Neural Nets;2024-05-07
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