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Study on Different Approaches for Breast Cancer Detection: A Review

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Abstract

Breast Cancer affects one in eight women in their lifetime. This cancer is generally observable in women, however, men can likewise get influenced from it. As mentioned in United States cancer statistics, the number of deaths caused by breast cancer crossed 40,000 in 1 year only in united-states. The stats indicated the point that this disease is common in women and there is plenty of work yet to be done in this field to get control over such a deadliest disease. This review paper is an attempt to address different breast cancer detection techniques exists based on the medical image processing tools which briefs an overview about the affordability, reliability and outcomes of each technique.

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Authors and Affiliations

  1. Dept. of Computer Science, Kuvempu University, Jnanasahyadri, Shimoga, Karnataka, India

    M. Ravikumar & P. G. Rachana

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  1. M. Ravikumar
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  2. P. G. Rachana
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Correspondence to M. Ravikumar.

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This article is part of the topical collection “Intelligent Systems” guest edited by Geetha Ganesan, Lalit Garg, Renu Dhir, Vijay Kumar and Manik Sharma.

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Ravikumar, M., Rachana, P.G. Study on Different Approaches for Breast Cancer Detection: A Review. SN COMPUT. SCI. 3, 43 (2022). https://doi.org/10.1007/s42979-021-00898-w

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