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Więcej informacji o Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Interventio

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Opis

This book constitutes the refereed joint proceedings of the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2019, and the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, HAL-MICCAI 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 8 papers presented at LABELS 2019 and the 5 papers presented at HAL-MICCAI 2019 were carefully reviewed and selected from numerous submissions. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. The HAL-MICCAI papers cover a wide set of hardware applications in medical problems, including medical image segmentation, electron tomography, pneumonia detection, etc.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer science Image processing

• Pełny tytuł: Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Interventio
• Podtytuł: International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
• Autor: Luping Zhou, Nicholas Heller, Yiyu Shi, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, X. Sharon Hu, Danny Chen
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 154
• EAN: 9783030336417
• ID: 24705189
• Wydawca: Springer Nature Switzerland AG
• Waga: 454 g
• Wymiary: 235 × 155 × 10 mm
• Data wydania: 21. November 2019

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