Feature Extraction Using GLSM for DDSM Mammogram Images-Reference-Cited by-同舟云学术

Feature Extraction Using GLSM for DDSM Mammogram Images

Published:2021 Issue: Volume: Page:317-325
ISSN:2366-0988
Container-title:Health Information Science
language:
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Author:

Shahare Neha S.,Yadav D. M.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-68723-6_17

Reference13 articles.

1. Neha N. Ganvir, D.M. Yadav, “Filtering Method for Pre-processing Mammogram Images for Breast Cancer Detection”, International Journal of Engineering and Advanced Technology. ISSN: 2249 – 8958, Volume 9, Issue 1, (pp. 4222–4229), Oct 2019.

2. Neha N. Ganvir, D.M. Yadav, “Clustered Micro-Calcifications Extraction From Mammogram Images Using Cellular Automata Segmentation With Anisotropic Diffusion Filtering”, International Journal of Scientific & Technology Research. ISSN 2277-8616, Volume 9, Issue 04, (pp. 1217–1221), April 2020.

3. Xiaolong Liu, Zhidong Deng, Yuhan Yang. Recent progress in semantic image segmentation. Artificial Intelligence Review, Springer, 2018.

4. Abdulkadir Sengur, Erkan Tanyildizi. A survey on neutrosophic medical image segmentation. Neutrosophic Set in Medical Image Analysis; 2019.

5. Ingval Anderson, Debra M Ikeda, “Breast tomosynthesis & digital mammography: A comparison of breast cancer visibility and BIRDS classification in a population of cancer with subtle mammographic findings”, European Society of Radiology 2018.

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