Overcoming challenges of translating deep learning models for Glioblastoma: the ZGBM consortium.

Haris ShuaibGareth J BarkerPeter SasieniEnrico De VitaAlysha ChelliahRoman AndreiKeyoumars AshkanErica BeaumontLucy BrazilChris Rowland-HillAndrea LauAysha LuisJames PowellAngela SwampillaiSean TenantStefanie C ThustStephen WastlingTom YoungThomas Calvert BoothJuliet BrockStuart CurrieKavi FataniKaren FowerakerJennifer GlendenningNigel HoggardAvinash K KanodiaAnant KrishnanMark Dv ThurstonJoanne LewisChristian LinaresRyan K MathewSatheesh RamalingamVijay SawlaniLiam WelshMatt Williams

Published in: The British journal of radiology (2022)

Successful translation of deep learning models will likely be based on structural post-treatment imaging unless there is significant effort made to standardise non-structural or peri-operative imaging protocols and schedules.

Keyphrases

deep learning
high resolution
convolutional neural network
machine learning
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