Attention U-Net-Based Segmentation and Hybrid Classification for Detection of Circulating Tumor-Associated Cells.

Simple Summary: Blood-based cancer detection is challenged by the rarity of tumor-associated cells among abundant peripheral blood nucleated cells. This study evaluates a predefined image-analysis pipeline that combines dual-channel fluorescence microscopy, an Attention U-Net segmentation stage, CTA...

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Publicado en:	Cancers Vol. 18; no. 16; pp. 2691 - 2711
Autores principales:	Cristofanilli, Massimo, Limaye, Sewanti, Rohatgi, Nitesh, Crook, Timothy, Al-Shamsi, Humaid O., Gaya, Andrew, Page, Raymond, Shreenivas, Aditya, Patil, Darshana, Datta, Vineet, Akolkar, Dadasaheb, Schuster, Stefan, Kumar, Prashant, Patel, Shoeb, Shejwalkar, Pradyumna, Golar, Snehal, Srinivasan, Ajay, Datar, Rajan
Formato:	pictorial research tables/charts Journal Article
Publicado:	MDPI Aug2026
Acceso en línea:	Ver este registro en EBSCOhost