Segmentation of Breast Cancer from Mammogram Images using Fuzzy Clustering Approach-Reference-Cited by-同舟云学术

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Segmentation of Breast Cancer from Mammogram Images using Fuzzy Clustering Approach

Published:2024-05-09 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Kushwaha Sumit¹,Sathish Parvatham²,Thankam Thamari³,Rajkumar K.²,Dileep Kumar M⁴,Gadde Sai Sudha⁵

Affiliation:

1. University Institute of Computing, Chandigarh University,Department of Computer Applications,Punjab,India,140413

2. SR University,Department of Electronics and Communication Engineering,Hanumkonda,Telangana,India,506371

3. Cihan University,Department of Community Health Nursing,Erbil,Iraq,44001

4. Hensard University,Faculty of Management Sciences,Bayelsa,Nigeria,561101

5. KoneruLakshmaiah Education, Foundation,Department of Computer Science and Engineering,Vaddeswaram,Telangana,India,500075

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10601631/10601667/10601962.pdf?arnumber=10601962

Reference12 articles.

1. Segmentation of the Breast Masses in Mammograms Using Active Contour for Medical Practice: AR Based Surgery

2. An Efficient Machine Learning Model for Breast cancer categorization using Logistic Regression on Histopathological images

3. Multi-scale Dual-Attention-Based U-Net for Breast Cancer Segmentation in Ultrasound Images

4. A Novel and Robust Breast Cancer classification based on Histopathological Images using Naive Bayes Classifier

5. Computer-aided diagnosis for breast cancer detection and classification using optimal region growing segmentation with MobileNet model

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