Deep Learning-based Assessment of Hepatic Steatosis on chest CT

no code implementations • 4 Feb 2022 • Zhongyi Zhang, Jakob Weiss, Jana Taron, Roman Zeleznik, Michael T. Lu, Hugo J. W. L. Aerts

A dataset of 451 CT scans with volumetric liver segmentations of expert readers was used for training a deep learning model.

Computed Tomography (CT) Liver Segmentation

Deep learning-based detection of intravenous contrast in computed tomography scans

2 code implementations • 16 Oct 2021 • Zezhong Ye, Jack M. Qian, Ahmed Hosny, Roman Zeleznik, Deborah Plana, Jirapat Likitlersuang, Zhongyi Zhang, Raymond H. Mak, Hugo J. W. L. Aerts, Benjamin H. Kann

The fine-tuned model on chest CTs yielded an AUC: 1. 0 for the internal validation set (n = 53), and AUC: 0. 980 for the external validation set (n = 402).