Pectoral Muscle Segmentation from Digital Mammograms Using a Transformative Approach-Reference-Cited by-同舟云学术

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Pectoral Muscle Segmentation from Digital Mammograms Using a Transformative Approach

Published:2023-11-15 Issue: Volume:20 Page:1-5
ISSN:
Container-title:2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM)
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Author:

Mahaveera Dhanush Jain¹,Gujar Shubham Arun¹,Cen Steven Yong²,Lei Xiaomeng²,Hwang Darryl H.³,Varghese Bino A.²

Affiliation:

1. University of Southern California,Viterbi School of Engineering,Los Angeles,CA,USA

2. University of Southern California,Keck School of Medicine,Los Angeles,CA,USA

3. University of Southern California,Keck School of Medicine Viterbi School of Engineering,Los Angeles,CA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10373395/10373414/10373450.pdf?arnumber=10373450

Reference17 articles.

1. An efficient pixel value based mapping scheme to delineate pectoral muscle from mammograms

2. Robust Automatic Pectoral Muscle Segmentation from Mammograms Using Texture Gradient and Euclidean Distance Regression

3. Improved Threshold Based and Trainable Fully Automated Segmentation for Breast Cancer Boundary and Pectoral Muscle in Mammogram Images

4. Segmentation of pectoral muscle from digital mammograms with depth-first search algorithm towards breast density classification

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