Breast Cancer Detection
Year: 2025
Type: article
Abstract: Breast cancer is among the leading causes of cancer-related deaths among women globally. Earlydetection significantly increases the chances of successful treatment and survival. This study presents adeep learning-based approach using the ResNet50 convolutional neural network (CNN) model for theautomated classification of breast cancer from ultrasound images. The system is deployed as a webapplication to facilitate real-time diagnosis support. Experimental evaluation demonstrates high accuracy,sensitivity, and specificity, indicating the model's effectiveness in differentiating malignant, benign, andnormal breast tissue.
Author: Yash Pawaskar, Harshith Poojary, Omkar Shriram, Prof. Bhagyashree Patil
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949347870
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