Saliency-based 3D convolutional neural network for categorising common focal liver lesions on multisequence MRI

Saliency-based 3D convolutional neural network for categorising common focal liver lesions on multisequence MRI

Abstract Background The imaging features of focal liver lesions (FLLs) are diverse and complex. Diagnosing FLLs with imaging alone remains challenging. We developed and validated an interpretable deep learning model for the classification of seven categories of FLLs on multisequence MRI and compared...

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Bibliographic Details
Main Authors: Shu-Hui Wang, Xin-Jun Han, Jing Du, Zhen-Chang Wang, Chunwang Yuan, Yinan Chen, Yajing Zhu, Xin Dou, Xiao-Wei Xu, Hui Xu, Zheng-Han Yang
Format: article
Language:EN
Published: SpringerOpen 2021
Subjects:
Deep learning
MRI
Classification
Focal liver lesion
Model interpretation
Medical physics. Medical radiology. Nuclear medicine
R895-920
Online Access:https://doaj.org/article/d040028a424a4073bc8776acf614b66e
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