Breast Cancer Detection in Mammography using Faster Region Convolutional Neural Networks and Group Convolution-Reference-Cited by-同舟云学术

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Breast Cancer Detection in Mammography using Faster Region Convolutional Neural Networks and Group Convolution

Published:2024-05-14 Issue: Volume: Page:1-17
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Sani Zaharaddeen¹^ORCID,Prasad Rajesh²^ORCID,Hashim Ezzeddin Kamil Mohamed³^ORCID

Affiliation:

1. Department of Computer Science, African University of Science and Technology, Abuja, Nigeria

2. Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, India

3. Pusat Pengajian Sains Kesihatan, Universiti Sains Malaysia, Penang, Malaysia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2024.2352643

Reference46 articles.

1. CoroNet: Deep Neural Network-Based End-to-End Training for Breast Cancer Diagnosis

2. An exhaustive survey on security and privacy issues in Healthcare 4.0

3. Mammogram breast cancer CAD systems for mass detection and classification: a review

4. Fully Convolutional Networks for Semantic Segmentation

5. Convolutional neural network-based image enhancement for x-ray percutaneous coronary intervention

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1. Síntesis de imagen médica postcontraste en estudios de DCE-MRI de mama usando aprendizaje profundo;TecnoLógicas;2024-08-01

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