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Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation [[electronic resource] ] : MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / / edited by Jun Ma, Bo Wang
Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation [[electronic resource] ] : MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / / edited by Jun Ma, Bo Wang
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (338 pages)
Disciplina 610.285
Collana Lecture Notes in Computer Science
Soggetto topico Image processing—Digital techniques
Computer vision
Artificial intelligence
Computer networks
Application software
Education—Data processing
Software engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
Software Engineering
ISBN 3-031-23911-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996508670903316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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 / / edited by Jun Ma, Bo Wang
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 / / edited by Jun Ma, Bo Wang
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (338 pages)
Disciplina 610.285
Collana Lecture Notes in Computer Science
Soggetto topico Image processing—Digital techniques
Computer vision
Artificial intelligence
Computer networks
Application software
Education—Data processing
Software engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
Software Engineering
ISBN 3-031-23911-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910645888903321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui