Ultrasound detection of nonalcoholic steatohepatitis using convolutional neural networks with dual-branch global–local feature fusion architecture

Tanmoy Chattopadhyay; Chun-Hao Lu; Yi‐Ping Chao; Chiao-Yin Wang; Dar‐In Tai; Ming‐Wei Lai; Zhuhuang Zhou; Po‐Hsiang Tsui

doi:10.1007/s11517-025-03361-7

ScienceGate Book Chapters

JOURNAL ARTICLE

Ultrasound detection of nonalcoholic steatohepatitis using convolutional neural networks with dual-branch global–local feature fusion architecture

Tanmoy Chattopadhyay Chun-Hao Lu Yi‐Ping Chao Chiao-Yin Wang Dar‐In Tai Ming‐Wei Lai Zhuhuang Zhou Po‐Hsiang Tsui

Year: 2025 Journal: Medical & Biological Engineering & Computing Publisher: Springer Science+Business Media

DOI: 10.1007/s11517-025-03361-7

Get Full-Text PDF Get Analytical Report

Keywords:

Nonalcoholic steatohepatitis Feature (linguistics) Convolutional neural network Artificial intelligence Computer science Human physiology Dual (grammatical number) Pattern recognition (psychology) Architecture Ultrasound Medicine Internal medicine Nonalcoholic fatty liver disease Radiology Geography Fatty liver

Metrics

Cited By

13.80

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Liver Disease Diagnosis and Treatment

Health Sciences → Medicine → Epidemiology

Spectroscopy Techniques in Biomedical and Chemical Research

Life Sciences → Biochemistry, Genetics and Molecular Biology → Biophysics

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Ultrasound detection of nonalcoholic steatohepatitis using convolutional neural networks with dual-branch global–local feature fusion architecture

Metrics

Citation History

Topics

Related Documents

Dual-Branch Vehicle Detection Model with Global-Local Feature Fusion

LGDF-Net: Local and Global Feature-Based Dual-Branch Fusion Networks for Deepfake Detection

Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion

Blind recognition of channel codes based on dual-branch feature fusion convolutional neural networks

Intrusion Detection using Convolutional Neural Networks with Feature Reduction