Deep Learning-Based Automatic Tumor Burden Assessment of Pediatric High-Grade Gliomas, Medulloblastomas, and Other Leptomeningeal Seeding Tumors.

Jian PengDaniel D KimJay B PatelXiaowei ZengJiaer HuangKen ChangXinping XunChen ZhangJohn SolleeJing WuDeepa J DalalXue FengHao ZhouChengzhang ZhuBeiji ZouKe JinPatrick Y WenJerrold L BoxermanKatherine E WarrenTina Y PoussaintLisa J StatesJayashree Kalpathy-CramerLi YangRaymond Y HuangHarrison X Bai

Published in: Neuro-oncology (2021)

Our automated deep learning pipeline demonstrates potential utility for response assessment in pediatric brain tumors. The tool should be further validated in prospective studies.

Keyphrases

deep learning
high grade
artificial intelligence
convolutional neural network
machine learning
low grade
cerebrospinal fluid
risk factors
risk assessment
childhood cancer