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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Image processing

• Plný název: Medical Image Learning with Limited and Noisy Data
• Podnázev: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
• Autor: Ghada Zamzmi, Sameer Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 252
• EAN: 9783031167591
• ID: 41381450
• Nakladatelství: Springer, Berlin
• Hmotnost: 388 g
• Rozměry: 235 × 155 × 14 mm
• Rok vydání: 2022

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