Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study.

Anahita Fathi KazerooniSherjeel ArifRachel MadhogarhiaNastaran KhaliliDebanjan HaldarSina BagheriAriana M FamiliarHannah AndersonShuvanjan HaldarWenxin TuMeen Chul KimKarthik ViswanathanSabine MullerMichael PradosCassie KlineLorenna VidalMariam AboianPhillip B StormAdam C ResnickJeffrey B WareArastoo VossoughChristos Davatzikos Ali Nabavizadeh

Published in: Neuro-oncology advances (2023)

Our proposed automated brain extraction and tumor subregion segmentation models demonstrated accurate performance on segmentation of the brain tissue and whole tumor regions in pediatric brain tumors and can facilitate detection of abnormal regions for further clinical measurements.

Keyphrases

deep learning
convolutional neural network
resting state
white matter
machine learning
high throughput
cerebral ischemia
functional connectivity
magnetic resonance
multiple sclerosis
contrast enhanced
mass spectrometry
label free
brain injury
subarachnoid hemorrhage
real time pcr
diffusion weighted imaging