SurvNet: A low-complexity convolutional neural network for survival time classification of patients with glioblastoma-Reference-Cited by-同舟云学术

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SurvNet: A low-complexity convolutional neural network for survival time classification of patients with glioblastoma

Published:2024-06 Issue:12 Volume:10 Page:e32870
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Lyu Qiyuan^ORCID,Parreno-Centeno Mario^ORCID,Papa João Paulo,Öztürk-Isik Esin,Booth Thomas C.^ORCID,Costen Fumie

Funder

University of Manchester

Publisher

Elsevier BV

Reference25 articles.

1. The 2021 WHO classification of tumors of the central nervous system: a summary;Louis;Oxford Academic,2021

2. Roland and, “The multimodal brain tumor image segmentation benchmark (BraTS),”;Menze;IEEE Trans. Med. Imag.,2014

3. The multimodal brain tumor image segmentation benchmark (BRATS);Menze;IEEE Trans. Med. Imag.,2015

4. The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository;Clark;J. Digit. Imag.,2013

5. Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time;Liao;J. Cell Mol. Med.,2019

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