Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation -

Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation

MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Jun Ma, Bo Wang (Herausgeber)

Buch | Softcover
IX, 328 Seiten
2023 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-23910-6 (ISBN)
80,24 inkl. MwSt

This book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022.

The 28 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo IX, 328 p. 130 illus., 123 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 516 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Abdomen • Artificial Intelligence • Bioinformatics • Computed tomography • computer vision • computer vision tasks • Computing Methodologies • distributed computer systems • Image Analysis • Image Processing • Image Segmentation • machine learning • Medical Images • Medical image segmentation • Organ • Scene Understanding • Software Design • Software Quality • Validation • Verification and Validation
ISBN-10 3-031-23910-5 / 3031239105
ISBN-13 978-3-031-23910-6 / 9783031239106
Zustand Neuware
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