Yao-sian Huang

Chang-hua, TNQ 50020, Taiwan

Last Updated: 09/26/2026

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Found 16 publications

LRF-UNet: Low-Rank Factorized Convolution Deep-Learning Networks for Visceral Adipose and Muscle Tissue Segmentation in Abdominal Computed Tomography Image.

LRF-UNet: Low-Rank Factorized Convolution Deep-Learning Networks for Visceral Adipose and Muscle Tissue Segmentation in Abdominal Computed Tomography Image.

Journal: Journal of imaging informatics in medicine
Published: September 14, 2025

ACD2W-InceptionNeXt: adjacent class distinguished and class distance weighted InceptionNeXt-based computer-aided mayo endoscopic scoring system for still images and video segments.

ACD2W-InceptionNeXt: adjacent class distinguished and class distance weighted InceptionNeXt-based computer-aided mayo endoscopic scoring system for still images and video segments.

Journal: Health information science and systems
Published: February 12, 2025

Automated whole-breast ultrasound tumor diagnosis using attention-inception network.

Automated whole-breast ultrasound tumor diagnosis using attention-inception network.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published: July 28, 2024

Stratifying High-Risk Thyroid Nodules Using a Novel Deep Learning System.

Stratifying High-Risk Thyroid Nodules Using a Novel Deep Learning System.

Journal: Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association
Published: August 21, 2023

Machine Learning: Using Xception, a Deep Convolutional Neural Network Architecture, to Implement Pectus Excavatum Diagnostic Tool from Frontal-View Chest X-rays.

Machine Learning: Using Xception, a Deep Convolutional Neural Network Architecture, to Implement Pectus Excavatum Diagnostic Tool from Frontal-View Chest X-rays.

Journal: Biomedicines
Published: November 11, 2022

An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification.

An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification.

Journal: Computer methods and programs in biomedicine
Published: August 31, 2022

One-stage pulmonary nodule detection using 3-D DCNN with feature fusion and attention mechanism in CT image.

One-stage pulmonary nodule detection using 3-D DCNN with feature fusion and attention mechanism in CT image.

Journal: Computer methods and programs in biomedicine
Published: September 01, 2021

3-D Res-CapsNet convolutional neural network on automated breast ultrasound tumor diagnosis.

3-D Res-CapsNet convolutional neural network on automated breast ultrasound tumor diagnosis.

Journal: European journal of radiology
Published: September 02, 2020

Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network.

Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network.

Journal: Computer methods and programs in biomedicine
Published: May 20, 2019

Computer-aided diagnosis of endobronchial ultrasound images using convolutional neural network.

Computer-aided diagnosis of endobronchial ultrasound images using convolutional neural network.

Journal: Computer methods and programs in biomedicine
Published: July 31, 2018

Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation.

Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation.

Journal: IEEE transactions on medical imaging
Published: July 31, 2018

Computer-Aided tumor diagnosis in 3-D breast elastography.

Computer-Aided tumor diagnosis in 3-D breast elastography.

Journal: Computer methods and programs in biomedicine
Published: June 05, 2017
Showing 1-12 of 16

Last Updated: 09/26/2026