Hybrid Deep Learning for Breast Cancer Diagnosis: Evaluating CNN and ANN on BreakHis_v1

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Hybrid Deep Learning for Breast Cancer Diagnosis: Evaluating CNN and ANN on BreakHis_v1_400X

Published:2024-04-02 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
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Author:

Ogundokun Roseline Oluwaseun¹,Abdullahi AbdulRahman Tosho²,Adenike Ajiboye Raimot³,Awoniyi Charles⁴,Akande Hakeem Babalola⁵,Falajiki Funmilola¹,Adedayo-Ajayi Victoria¹

Affiliation:

1. Landmark University,Department of Computer Science,Omu Aran,Nigeria

2. Kwara State Polytechnic,Institute of Information and Communication Technology,Department of Computer Science

3. Kwara State Polytechnic,Institute of Applied Sciences,Department of Statistics

4. Bupa Insurance Services,London,United Kingdom

5. Telecommunication Science University of Ilorin,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10629774.pdf?arnumber=10629774

Reference28 articles.

1. Explainable Artificial Intelligence with Scaling Techniques to Classify Breast Cancer Images

2. Global cancer statistics, 2012

3. Analysis of Breast Cancer Detection Using Different Machine Learning Techniques

4. Diagnosis Expert System on Breast Cancer Using Fuzzy Logic and Clustering Technique

5. Metastatic Breast Cancer Detection Using Deep Learning Algorithms: A Systematic Review

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