Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops

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anglais | 03-02-2024 | 412 pages

9783031474248

Livre de poche


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Couverture / Jaquette

This double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops.The papers of the workshops are presenting the topical sections: Eighth International Skin Imaging Collaboration Workshop (ISIC 2023) First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023) Fourth Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2023) First MICCAI Workshop on Time-Series Data Analytics and Learning First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-Up (LEAF) AI For Treatment Response Assessment and predicTion Workshop (AI4Treat 2023) Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023) Second International Workshop on Resource-Effcient Medical Multimodal Medical Imaging Image Analysis (REMIA 2023)

Table des matières

Artificial Intelligence.- Computer Vision.- Machine Learning.- Medical Imaging.- Explainability.- Privacy-Preserving Learning.- Federated Learning.- Distributed Learning.- Dermatology.- Skin.- Radiology.- Health Informatics.- Radiomics.- Video.- Time Series Data.- Physiological Data.- Longitudinal Data.- Data Fusion.- Motion Tracking.


Détails

Code EAN :9783031474248
Auteur(trice): 
Editeur :Springer Nature Switzerland-Springer Nature Switzerland-Springer International Publishing AG
Date de publication :  03-02-2024
Format :Livre de poche
Langue(s) : anglais
Hauteur :235 mm
Largeur :155 mm
Epaisseur :23 mm
Poids :622 gr
Stock :Impression à la demande (POD)
Nombre de pages :412
Mots clés :  Artificial Intelligence; Computer vision; Data Fusion; Longitudinal Data; Machine Learning; Medical Imaging; Physiological data; Privacy-Preserving Learning; Radiomics; Skin; Time Series Data; dermatology; distributed learning; explainability; federated learning; health informatics; motion tracking; radiology; video