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This is a In Vitro Study study.

Breast Cancer Detection

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Automated system improves diagnostic accuracy of breast cancer in ultrasound images, indicating significant time savings for clinicians.

AI-driven approach increases diagnostic accuracy for breast lesions, enhancing clinical decision-making.
Experimental results indicate significant reduction in assessment time, allowing quicker diagnoses for patients.
The system utilizes VGG16 and Xception convolutional neural networks for effective feature extraction.
User-friendly web application facilitates real-time predictions for healthcare professionals uploading ultrasound images.

Sarathi et al. (2025) studied this question.

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