Enhanced Deep Learning-Based CAD System for Breast Cancer Diagnosis from Histopathology Images: Whole Slide Approach
Author:
Affiliation:
1. Major of Biomedical Informatics Nile University,School of Information Technology and Computer Science,Giza,Egypt,12677
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10296538/10296540/10296609.pdf?arnumber=10296609
Reference17 articles.
1. Publicly available datasets of breast histopathology H&E whole-slide images: A systematic review;tafavvoghi,2023
2. A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
3. BACH: Grand challenge on breast cancer histology images
4. Classification of breast cancer histology images using Convolutional Neural Networks
5. Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture
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1. Integrative Breast Cancer Detection: A Deep Learning Approach with Multi-Modal Data Fusion of Mammograms, Prescription and Blood Reports;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17
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