Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net

Author:

Szeskin AdiORCID,Rochman Shalom,Weiss Snir,Lederman Richard,Sosna Jacob,Joskowicz LeoORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference39 articles.

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2. Signify Research, July 2018. https://www.signifyresearch.net/medical-imaging-reports, Last accessed Apr 15, 2022.

3. Recurrent residual U-Net for medical image segmentation;Alom;J. Med. Imaging,2019

4. Deep learning radiomics algorithm for gliomas (drag) model: a novel approach using 3D U-Net based deep convolutional neural network for predicting survival in gliomas;Baid,2018

5. Fully convolutional network for liver segmentation and lesions detection;Ben-Cohen,2016

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