Breast Cancer Detection Using CNN

Abstract: The article proposes an approach for detecting breast cancer with the aid of machine learning. The main motive of this article is to detect cancer at earlier stage using deep learning (DL) where the ultrasound images of breast are classified as cancerous or non-cancerous. Using CNN model the system is trained to classify based on tumour size. These ultrasound images are pre-processed using normalization and are resized beforehand so that the learned model can make predictions with ease. The system even detects the stage of cancer if the tumour is predicted to be cancerous using prediction probability. Overall this helps the medical professionals to detect breast cancer easily and provide proper medication to the affected ones and prevent human error

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-18
DOI
https://doi.org/10.22214/ijraset.2025.71033
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Breast Cancer Detection Using CNN

Yeresime Suresh
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International Journal for Research in Applied Science and Engineering Technology
AI in cancer detection
article

Breast Cancer Detection Using CNN

Yeresime Suresh
article en

Abstract

Abstract: The article proposes an approach for detecting breast cancer with the aid of machine learning. The main motive of this article is to detect cancer at earlier stage using deep learning (DL) where the ultrasound images of breast are classified as cancerous or non-cancerous. Using CNN model the system is trained to classify based on tumour size. These ultrasound images are pre-processed using normalization and are resized beforehand so that the learned model can make predictions with ease. The system even detects the stage of cancer if the tumour is predicted to be cancerous using prediction probability. Overall this helps the medical professionals to detect breast cancer easily and provide proper medication to the affected ones and prevent human error

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Machine Intelligence Research Institute (US)
Openalex Percentile: Top 95%
AI in cancer detection
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