Name: Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data (en Inglés)
Price: 192.60 PEN
Availability: InStock
Author: Baxter, John S. H. ; Rekik, Islem ; Eagleson, Roy
ISBN: 9783031232220

portada Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data (en Inglés)

Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Baxter, John S. H. ; Rekik, Islem ; Eagleson, Roy

Idioma

Inglés

N° páginas

135

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 0.8 cm

Peso

0.23 kg.

ISBN13

9783031232220

Categorías

Ciencia y análisis de datos: generalidades
Análisis y captura de datos
Reconocimiento de formas
Visión por ordenador
Procesamiento de imágenes

Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data (en Inglés)

Baxter, John S. H. ; Rekik, Islem ; Eagleson, Roy (Autor) · Springer · Tapa Blanda

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Reseña del libro "Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data (en Inglés)"

This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022.EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topologyplays in machine learning and data science.