Improving liver lesions classification on CT/MRI images based on Hounsfield Units attenuation and deep learning-Reference-Cited by-同舟云学术

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Improving liver lesions classification on CT/MRI images based on Hounsfield Units attenuation and deep learning

Published:2023-03 Issue: Volume:47 Page:119289
ISSN:1567-133X
Container-title:Gene Expression Patterns
language:en
Short-container-title:Gene Expression Patterns

Author:

Phan Anh-Cang^ORCID,Cao Hung-Phi,Le Thi-Nguu-Huynh,Trieu Thanh-Ngoan,Phan Thuong-Cang

Publisher

Elsevier BV

Subject

Developmental Biology,Genetics,Molecular Biology

Reference37 articles.

1. Grainger & Allison's Diagnostic Radiology E-Book;Adam,2014

2. Fundamentals of Diagnostic Radiology;Brant,2012

3. Automatic liver and lesion segmentation in ct using cascaded fully convolutional neural networks and 3d conditional random fields;Christ,2016

4. Radiology Review Manual;Dähnert,2011

5. R-fcn: object detection via region-based fully convolutional networks;Dai,2016

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1. Deep Learning Methods in Medical Image-Based Hepatocellular Carcinoma Diagnosis: A Systematic Review and Meta-Analysis;Cancers;2023-12-03

2. Medical Big Data and Artificial Intelligence for Healthcare;Applied Sciences;2023-03-15

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