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CSA-SegNet: enhancing ovarian tumor segmentation from ultrasound images with spatial pooling and contour-based loss functions

Thi-Loan Pham Hoang-Son Bui Van-Hung Le C. Pham Tuan Anh Nguyen Hong-Thien Dang T. Le Hai Vu Duy-Hai Vu Thanh-Hai Tran
Jul 2026 · International Journal of Machine Learning and Cybernetics · Vol 17 · 0 citations · 57 references
Computer Science

TL;DR

A new loss function is proposed that enhances conventional loss functions such as IoU loss, SSIM Loss, and Focal loss function with Active Contour Euler Elastical loss with effectiveness in enhancing segmentation accuracy and boundary delineation of ovarian ultrasound images.

DOI Semantic Scholar
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