Multimodality Imaging, Volume 1 – Deep learning applications (2022) Mainak Biswas

Description

This volume focuses on deep learning applications within multimodality imaging and augmented radiology. Topics covered include risk stratification for fatty liver disease, measurement of cIMT, assessment of stroke treatment effects using MR images, diagnosis of prostate cancer, and CT-based respiratory disease prognosis.