Cardoso Jaime, Van Nguyen Hien, Heller Nicholas Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, IMIMIC 2020, Second International Workshop, 9783030611651

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Автор: Cardoso Jaime, Van Nguyen Hien, Heller Nicholas
Название: Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, IMIMIC 2020, Second International Workshop,
ISBN: 9783030611651
Издательство: Springer
Классификация:

Биология и науки о жизни

Приложения для деловой сферы

Теория вычислительных машин и систем, кибернетика

Искусственный интеллект

Распознавание образов

Машинное зрение

ISBN-10: 3030611655
Обложка/Формат: Paperback
Страницы: 292
Вес: 0.44 кг.
Дата издания: 23.11.2020
Серия: Image processing, computer vision, pattern recognition, and graphics
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 109 illustrations, black and white; xvii, 292 p. 109 illus.; 109 illustrations, black and white; xvii, 292 p. 109 illus.
Размер: 23.39 x 15.60 x 1.70 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Third international workshop, imimic 2020, second international workshop, mil3id 2020, and 5th international workshop, labels 2020, held in conjunction with miccai 2020, lima, peru, october 4-8, 2020, proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
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Дополнительное описание: iMIMIC 2020.- Assessing attribution maps for explaining CNN-based vertebral fracture classifiers.- Projective Latent Interventions for Understanding and Fine-tuning Classifiers.- Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical

Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, IMIMIC 2020, Second International Workshop,, Cardoso Jaime, Van Nguyen Hien, Heller Nicholas