Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop: MedSAM on Laptop 2024, Held in ...

Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop: MedSAM on Laptop 2024, Held in ...

Jun Ma , Yuyin Zhou , Bo Wang
Brak ocen
Mar 7, 2025 · Angielski · Miękka okładka (264 strony)
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Szczegóły książki

Format Miękka okładka
Strony 264
Język Angielski
Opublikowany Mar 7, 2025
Wydawca Springer
ISBN-10 3031818539
ISBN-13 9783031818530

Opis

This work dives into the innovative world of medical image segmentation, showcasing the power and potential of foundation models through the CVPR 2024 challenge. It emphasizes the practical application of these models, particularly focusing on the groundbreaking MedSAM approach for segmenting medical images efficiently and effectively on standard laptops.

Through collaborations and expert insights, the authors explore various techniques and methodologies, equipping readers with a comprehensive understanding of contemporary challenges and advancements in the field. This book serves as a vital resource for practitioners, researchers, and anyone eager to tap into the transformative capabilities of medical image processing.
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