Computer-aided diagnostic system for breast cancer detection based on optimized segmentation scheme and supervised algorithm-Reference-Cited by-同舟云学术

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Computer-aided diagnostic system for breast cancer detection based on optimized segmentation scheme and supervised algorithm

Published:2023-09-19 Issue:4 Volume:64 Page:1244-1254
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Balaji S.¹,Arunprasath T.²,Rajasekaran M. Pallikonda¹,Vishnuvarthanan G.²,Sindhuja K.³

Affiliation:

1. Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India

2. School of Computing Science and Engineering, VIT Bhopal University, Madhya Pradesh, India

3. Department of Electronics and Communication Engineering, Theni Kammavar Sangam College of Technology, Theni, India

Publisher

Informa UK Limited

Subject

General Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00051144.2023.2244307

Reference24 articles.

1. https://www.who.int/news-room/fact-sheets/detail/breast-cancer

2. Survey paper on diagnosis of breast cancer using image processing techniques;Yasmin M;Res J Recent Sci,2013

3. Mohan H. Textbook of pathology. 7th ed. New Delhi, India: Jaypee Brothers Medical Publishers (P) Ltd.; 2014.

4. Computer-aided detection and classification of microcalcifications in mammograms: a survey

5. Emerging Research in Electronics, Computer Science and Technology

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing breast cancer treatment selection through 2TLIVq-ROFS-based multi-attribute group decision making;Frontiers in Artificial Intelligence;2024-06-03

2. Fine tuning deep learning models for breast tumor classification;Scientific Reports;2024-05-10

3. Feature selection using adaptive manta ray foraging optimization for brain tumor classification;Pattern Analysis and Applications;2024-03-07

4. Joint Federated Learning Using Deep Segmentation and the Gaussian Mixture Model for Breast Cancer Tumors;IEEE Access;2024

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