An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection-Reference-Cited by-同舟云学术

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An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection

Published:2022 Issue: Volume:207 Page:2096-2105
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Moroz-Dubenco Cristiana,Bajcsi Adél,Andreica Anca,Chira Camelia

Funder

Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii

Ministry of Education and Research, Romania

Colegiul Consultativ pentru Cercetare-Dezvoltare şi Inovare

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

1. International Agency for Research on Cancer. Global cancer observatory: Cancer today, 2020. Accessed 20.04.2022.

2. Detection of microcalcification in digital mammograms by improved-mmgw segmentation algorithm;Desai,2013

3. Breast lesions detection in digital mam-mography: An automated pre-diagnosis;Duque,2014

4. A survey on segmentation techniques of mammogram images;Es-salhi,2016

5. The pre-processing techniques for breast cancer detection in mammography images;Ramani;International Journal of Image, Graphics and Signal Processing,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Linear Discriminant Analysis Tumour Classification for Unsupervised Segmented Mammographies;Procedia Computer Science;2023

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