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Ghada Zamzmi, Sameer Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue - Medical Image Learning with Limited and Noisy Data, Häftad

Häftad, Engelska, 2022

Medical Image Learning with Limited and Noisy Data

Av Ghada Zamzmi, Sameer Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue

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Beskrivning
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.
Produktinformation
  • Utgivningsdatum: 2022-09-22
  • Mått: 155 x 235 x 15 mm
  • Vikt: 394 g
  • Format: Häftad
  • Språk: Engelska
  • Serie: Lecture Notes in Computer Science
  • Antal sidor: 240
  • Förlag: Springer International Publishing AG
  • ISBN: 9783031167591
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