Automatic Segmentation of Pancreatic Tumors Using Deep Learning on a Video Image of Contrast-Enhanced Endoscopic Ultrasound.

Yuhei IwasaTakuji IwashitaYuji TakeuchiHironao IchikawaNaoki MitaShinya UemuraMasahito ShimizuYu-Ting KuoHsiu-Po WangTakeshi Hara

Published in: Journal of clinical medicine (2021)

Automatic segmentation of pancreatic tumors using U-Net on CE-EUS video images showed a decent concordance rate. The concordance rate was lowered by an unclear TB but was not affected by RM.

Keyphrases

deep learning
contrast enhanced
magnetic resonance imaging
convolutional neural network
diffusion weighted
artificial intelligence
computed tomography
ultrasound guided
magnetic resonance
diffusion weighted imaging
machine learning
fine needle aspiration
mycobacterium tuberculosis
quantum dots