Medical Image Learning with Limited and Noisy Data
Redigert av Ghada Zamzmi, Zhiyun Xue, Ulas Bagci, Sivaramakrishnan Rajaraman, Sameer Antani, Marius George Linguraru, 2022.Del av serien Lecture Notes in Computer Science.
First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
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Medical Image Learning with Limited and Noisy Data
Redigert av Ghada Zamzmi, Zhiyun Xue, Ulas Bagci, Sivaramakrishnan Rajaraman, Sameer Antani, Marius George Linguraru, 2022.Del av serien Lecture Notes in Computer Science.
First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
Oppdag mer
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
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