Deep Learning-Based Computer-Aided Diagnosis Model for the Identification and Classification of Mammography Images-Reference-Cited by-同舟云学术

Deep Learning-Based Computer-Aided Diagnosis Model for the Identification and Classification of Mammography Images

Published:2023-06-29 Issue:5 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Kumar Sumit,Bhupati ,Bhambu Pawan,Pachar Sunita,Cotrina-Aliaga Juan Carlos,Arias-Gonzáles José Luis^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-023-01863-5.pdf

Reference36 articles.

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3. Rabottino G, Mencattini A, Salmeri M, Caselli F, Lojacono R. Performance evaluation of a region growing procedure for mammographic breast lesion identification. Comput Stand Interfaces. 2011;33:128–35.

4. Harish Kumar N, Amutha S, Ramesh Babu DR. Enhancement of mammographic images using morphology and wavelet transform. Int J Comput Technol Appl. 2012;3(1):192–8.

5. Juarez, LC, Ponomaryov V, Sanchez RJL (2006) Detection of micro calcifications in digital mammograms images using wavelet transform. In: Proceedings of IEEE electronics, robotics and automotive mechanics conference, vol 2, pp 58–61

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