A Review - Breast Cancer Detection using Deep Learning Methods

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A Review - Breast Cancer Detection using Deep Learning Methods

Nath, Srigitha S / Jayapraba, Anjaline / C T, Kalaivani / Ali M, Sheik Misbar / M, Shyam Kumar / K, Sudharsan

Early detection of cancer not only helps out in reducing the risk factor but also makes the treatment to be less expensive. But most of us are exposed to only limited number of techniques that are available for the prognosis of breast cancer. Mostly, considering the effects on exposure to radiations, invasive painful and expensive techniques, people often refrain from the sets of common screenings. Considering the same, the effect on the lists of existing breast cancer detection techniques and its functionalities were presented over to this paper to increase the exposure of people and gain their confidence on the same in early detection of breast cancer. Among all deep learning algorithm CNN classifier is suitable for early breast cancer detection its achieve 99% accuracy compare than other classifier.

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Dokumentinformationen

Titel :

A Review - Breast Cancer Detection using Deep Learning Methods

Beteiligte:

Nath, Srigitha S (Autor:in) / Jayapraba, Anjaline (Autor:in) / C T, Kalaivani (Autor:in) / Ali M, Sheik Misbar (Autor:in) / M, Shyam Kumar (Autor:in) / K, Sudharsan (Autor:in)

Erschienen in:

2022 6th International Conference on Electronics, Communication and Aerospace Technology ; 569-574

Erscheinungsdatum :

2022-12-01

Format / Umfang :

805414 byte

ISBN :

978-1-6654-8271-4 , 978-1-6654-8270-7

DOI :

https://doi.org/10.1109/ICECA55336.2022.10009307

Medientyp :

Aufsatz (Konferenz)