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Leveraging Multi-Phase CT for the Automatic Diagnosis of HCC with Deep Learning: Impacts of Lesion Localization and Phase Inclusion
The early and accurate diagnosis of hepatocellular carcinoma is paramount to allow the
successful treatment of this deadly liver cancer, of rising incidence worldwide. With the …
successful treatment of this deadly liver cancer, of rising incidence worldwide. With the …
Evaluation of an automated method to detect missed focal liver findings in single-phase ct images of the abdomen
PL Esquinas, YF Luo, P Farzam… - 2022 IEEE 19th …, 2022 - ieeexplore.ieee.org
In the present study, an automated method to identify potential missed focal liver lesions in
abdominal CT scans is described and evaluated. The method analyzes radiology reports …
abdominal CT scans is described and evaluated. The method analyzes radiology reports …
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI
Objectives: to propose a fully-automatic computer-aided diagnosis (CAD) solution for liver
lesion characterization, with uncertainty estimation. Methods: we enrolled 400 patients who …
lesion characterization, with uncertainty estimation. Methods: we enrolled 400 patients who …