Medical Image Learning with Limited and Noisy Data Medical Image Learning with Limited and Noisy Data

Medical Image Learning with Limited and Noisy Data

First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Ghada Zamzmi y otros
    • USD 39.99
    • USD 39.99

Descripción editorial

This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.

GÉNERO
Informática e Internet
PUBLICADO
2022
21 de septiembre
IDIOMA
EN
Inglés
EXTENSIÓN
251
Páginas
EDITORIAL
Springer Nature Switzerland
VENDEDOR
Springer Nature B.V.
TAMAÑO
40.3
MB
Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning
2025
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops
2023
Medical Image Learning with Limited and Noisy Data Medical Image Learning with Limited and Noisy Data
2023
Predictive Intelligence in Medicine Predictive Intelligence in Medicine
2023
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data
2021