AI-Based Breast Cancer Detection System Article Swipe

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Amro Moursi , Abdulrahman Abumadi , Uvais Qidwai ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.20944/preprints202502.1981.v1

This work addresses the critical need for early detection of breast cancer, a significant health concern worldwide. Through a combination of advanced deep learning and machine learning techniques, we offer a comprehensive solution to enhance breast cancer detection accuracy. By leveraging state-of-the-art convolutional neural networks (CNNs) like GoogLeNet, AlexNet, and ResNet18, alongside traditional classifiers such as k-nearest neighbors (KNN) and support vector machine (SVM), we ensure robust prediction capabilities. Our preprocessing methods significantly improve input data quality, leading to promising detection accuracies. For instance, ResNet-18 achieved impressive results, outperforming other models. Furthermore, our integration of these algorithms into a user-friendly MATLAB application ensures easy access for medical professionals, facilitating timely diagnosis and treatment. This work represents a vital step towards more effective breast cancer diagnosis, underscoring the importance of early intervention for improved patient outcomes.

Related Topics

Breast Cancer

Computer Science

Cancer

Artificial Intelligence

Medicine

Internal Medicine

Concepts

Breast cancer Cancer detection Computer science Cancer Artificial intelligence Medicine Internal medicine

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Type: preprint
Language: en
Landing Page: https://doi.org/10.20944/preprints202502.1981.v1
PDF: https://www.preprints.org/frontend/manuscript/7678bab44bfd66621bb06fbdf3db2823/download_pub
OA Status: green
Related Works: 10
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DOI: https://doi.org/10.20944/preprints202502.1981.v1

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Title: AI-Based Breast Cancer Detection System

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-02-25

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Authors: Amro Moursi, Abdulrahman Abumadi, Uvais Qidwai

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Landing page: https://doi.org/10.20944/preprints202502.1981.v1

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PDF URL: https://www.preprints.org/frontend/manuscript/7678bab44bfd66621bb06fbdf3db2823/download_pub

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Open access: Yes

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OA status: green

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OA URL: https://www.preprints.org/frontend/manuscript/7678bab44bfd66621bb06fbdf3db2823/download_pub

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Concepts: Breast cancer, Cancer detection, Computer science, Cancer, Artificial intelligence, Medicine, Internal medicine

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Cited by: 0

Total citation count in OpenAlex
Related works (count): 10

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