Name: Medical Image Computing and Computer Assisted Intervention - Miccai 2023: 26th International Conference, Vancouver, Bc, Canada, October 8-12, 2023, Pr (en Inglés)
Price: 125.98 USD
Availability: InStock
Author: Greenspan, Hayit ; Madabhushi, Anant ; Mousavi, Parvin
ISBN: 9783031438974

portada Medical Image Computing and Computer Assisted Intervention - Miccai 2023: 26th International Conference, Vancouver, Bc, Canada, October 8-12, 2023, Pr (en Inglés)

Medical Image Computing and Computer Assisted Intervention - Miccai 2023: 26th International Conference, Vancouver, Bc, Canada, October 8-12, 2023, Pr (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Greenspan, Hayit ; Madabhushi, Anant ; Mousavi, Parvin

Idioma

Inglés

N° páginas

771

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 4.1 cm

Peso

1.12 kg.

ISBN13

9783031438974

Categorías

Ciencia y análisis de datos: generalidades
Equipamiento y tecnología educativas, aprendizaje asistido por ordenador (cal)
Análisis y captura de datos
Reconocimiento de formas
Visión por ordenador

Medical Image Computing and Computer Assisted Intervention - Miccai 2023: 26th International Conference, Vancouver, Bc, Canada, October 8-12, 2023, Pr (en Inglés)

Greenspan, Hayit ; Madabhushi, Anant ; Mousavi, Parvin (Autor) · Springer · Tapa Blanda

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Reseña del libro "Medical Image Computing and Computer Assisted Intervention - Miccai 2023: 26th International Conference, Vancouver, Bc, Canada, October 8-12, 2023, Pr (en Inglés)"

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023.The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning - transfer learning; Part II: Machine learning - learning strategies; machine learning - explainability, bias, and uncertainty; Part III: Machine learning - explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications - abdomen; clinical applications - breast; clinical applications - cardiac; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - musculoskeletal; clinical applications - oncology; clinical applications - ophthalmology; clinical applications - vascular; Part VIII: Clinical applications - neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.