1.

Record Nr.

UNISA996418311403316

Titolo

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-46640-X

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (xvi, 400 pages)

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 11992

Disciplina

616.99281

Soggetti

Optical data processing

Machine learning

Application software

Education—Data processing

Pattern recognition

Image Processing and Computer Vision

Machine Learning

Computer Applications

Computers and Education

Pattern Recognition

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Brain Lesion Image Analysis -- Brain Tumor Image Segmentation -- Combined MRI and Pathology Brain Tumor Classification -- Tools Allowing Clinical Translation of Image Computing Algorithms.

Sommario/riassunto

The two-volume set LNCS 11992 and 11993 constitutes the thoroughly refereed proceedings of the 5th International MICCAI Brainlesion Workshop, BrainLes 2019, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge, as well as the tutorial session on Tools Allowing



Clinical Translation of Image Computing Algorithms (TACTICAL). These were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI, in Shenzhen, China, in October 2019. The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (12 selected papers from 32 submissions); brain tumor image segmentation (57 selected papers from 102 submissions); combined MRI and pathology brain tumor classification (4 selected papers from 5 submissions); tools allowing clinical translation of image computing algorithms (2 selected papers from 3 submissions.).