Performance evaluation of breast lesion detection systems with expert delineations: a comparative investigation on mammographic images

Author:

Singh Bikesh K.,Jain Pankaj,Banchhor Sumit K.,Verma Kesari

Funder

Chhatisgarh council of science and technology, Raipur, India

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference60 articles.

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2. Arodź T, Kurdziel M, Popiela TJ, Sevre EO, Yuen DA (2006) Detection of clustered microcalcifications in small field digital mammography. Comput Methods Prog Biomed 81(1):56–65

3. Banchhor SK, Londhe ND, Saba L, Radeva P, Laird JR, Suri JS (2017) Relationship between automated coronary calcium volumes and a set of manual coronary lumen volume, vessel volume and atheroma volume in Japanese diabetic cohort. J Clin Diagn Res 11(6):TC09

4. Breast cancer statistics, How common is breast cancer? American cancer society. Online document available at https://www.cancer.org/cancer/breast-cancer/about/how-common-is-breastcancer.html . Accessed 4 Nov 2019

5. Chen Z, Zwiggelaar R A modified fuzzy c-means algorithm for breast tissue density segmentation in mammograms. In: Information technology and applications in biomedicine (ITAB), 2010 10th IEEE international conference on 2010 Nov 3. IEEE, pp 1–4

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