CNN based breast cancer detection using artifical intelligence

Breast cancer is the most frequent cancer in women, although it may affect either gender. It is responsible for an unfathomable amount of deaths globally. In a particularly low-resource developing country, there is a lack of knowledge and facilities, particularly in rural regions, as well as a high...

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Hauptverfasser: Velayutham, R., Suresh, L. Padma
Format: Tagungsbericht
Sprache:eng
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Beschreibung
Zusammenfassung:Breast cancer is the most frequent cancer in women, although it may affect either gender. It is responsible for an unfathomable amount of deaths globally. In a particularly low-resource developing country, there is a lack of knowledge and facilities, particularly in rural regions, as well as a high percentage of breast cancer discovered in the late stages. Early identification of breast cancer, on the other hand, can help raise the chances of survival. With a rising number of patients, manual examination of medical photographs has become tiresome, time consuming, and impractical. With advances in machine learning, it is now feasible to develop an automatic and efficient Computer Aided Diagnosis (CAD) system and make the entire process of identifying a malignant tumor better resources efficient and time saving through correct use.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0171483