WOMT: Wasserstein Distribution Based Minimization of False Positives in Breast Tumor Classification Using Deep Learning-Reference-Cited by-同舟云学术

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WOMT: Wasserstein Distribution Based Minimization of False Positives in Breast Tumor Classification Using Deep Learning

Published:2023 Issue: Volume:11 Page:57831-57842
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lakshmi L.¹,Devi Kunada Dhana Sree²^ORCID,Gupta Shikha³,Reddy K. Adi Narayana¹^ORCID,Grandhi Suresh Kumar⁴^ORCID,Panda Sandeep Kumar¹^ORCID

Affiliation:

1. Department of Artificial Intelligence and Data Science, Faculty of Science and Technology (IcfaiTech), ICFAI Foundation for Higher Education (IFHE), Hyderabad, India

2. Department of Computer Science and Engineering, Gitam University, Telangana, Hyderabad, India

3. Department of Computer Science and Engineering, Chandigarh University, Punjab, India

4. Department of Mechanical Engineering, Faculty of Science and Technology, ICFAI Foundation for Higher Education (IFHE), Hyderabad, India

Funder

ICFAI Foundation for Higher Education, Hyderabad, Telangana, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10132478.pdf?arnumber=10132478

Reference28 articles.

1. Accurate segmentation of the breast region from digitized mammograms

2. Automated breast profile segmentation for ROI detection using digital mammograms

3. Pectoral Muscles Removal in Mammogram Image by Hybrid Bounding Box and Region Growing Algorithm

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