Wei-chung Shia

8F, No. 235, XuGuang Road
Chang-hua, TNQ, Taiwan

Last Updated: 09/26/2026

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Found 21 publications

Deep learning-based classification of benign and malignant breast microcalcifications in mammography.

Deep learning-based classification of benign and malignant breast microcalcifications in mammography.

Journal: Scientific reports

Published: July 23, 2025

A Lightweight Breast Cancer Mass Classification Model Utilizing Simplified Swarm Optimization and Knowledge Distillation.

A Lightweight Breast Cancer Mass Classification Model Utilizing Simplified Swarm Optimization and Knowledge Distillation.

Journal: Bioengineering (Basel, Switzerland)

Published: May 05, 2025

Enhancing Microcalcification Detection in Mammography with YOLO-v8 Performance and Clinical Implications.

Enhancing Microcalcification Detection in Mammography with YOLO-v8 Performance and Clinical Implications.

Journal: Diagnostics (Basel, Switzerland)

Published: November 02, 2024

Evaluating the Margins of Breast Cancer Tumors by Using Digital Breast Tomosynthesis with Deep Learning: A Preliminary Assessment.

Evaluating the Margins of Breast Cancer Tumors by Using Digital Breast Tomosynthesis with Deep Learning: A Preliminary Assessment.

Journal: Diagnostics (Basel, Switzerland)

Published: April 04, 2024

An Integrated Approach using YOLOv8 and ResNet, SeResNet & Vision Transformer (ViT) Algorithms based on ROI Fracture Prediction in X-ray Images of the Elbow.

An Integrated Approach using YOLOv8 and ResNet, SeResNet & Vision Transformer (ViT) Algorithms based on ROI Fracture Prediction in X-ray Images of the Elbow.

Journal: Current medical imaging

Published: February 16, 2024

Refined protocol for newly onset identification in non-obese diabetic mice: an animal-friendly, cost-effective, and efficient alternative.

Refined protocol for newly onset identification in non-obese diabetic mice: an animal-friendly, cost-effective, and efficient alternative.

Journal: Laboratory animal research

Published: January 19, 2024

Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the Unet3+ Deep Learning Framework.

Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the Unet3+ Deep Learning Framework.

Journal: Biomedicines

Published: April 30, 2023

Mammographic Density Reduction is Associated to the Prognosis in Asian Breast Cancer Patients Receiving Hormone Therapy.

Mammographic Density Reduction is Associated to the Prognosis in Asian Breast Cancer Patients Receiving Hormone Therapy.

Journal: Cancer control : journal of the Moffitt Cancer Center

Published: March 03, 2023

Specific Forms of Graphene Quantum Dots Induce Apoptosis and Cell Cycle Arrest in Breast Cancer Cells.

Specific Forms of Graphene Quantum Dots Induce Apoptosis and Cell Cycle Arrest in Breast Cancer Cells.

Journal: International journal of molecular sciences

Published: November 23, 2022

Semantic Segmentation of the Malignant Breast Imaging Reporting and Data System Lexicon on Breast Ultrasound Images by Using DeepLab v3.

Semantic Segmentation of the Malignant Breast Imaging Reporting and Data System Lexicon on Breast Ultrasound Images by Using DeepLab v3.

Journal: Sensors (Basel, Switzerland)

Published: June 13, 2022

Incorporating the Breast Imaging Reporting and Data System Lexicon with a Fully Convolutional Network for Malignancy Detection on Breast Ultrasound.

Incorporating the Breast Imaging Reporting and Data System Lexicon with a Fully Convolutional Network for Malignancy Detection on Breast Ultrasound.

Journal: Diagnostics (Basel, Switzerland)

Published: November 22, 2021

PBK Expression Is Associated With Prognosis of Patients With Oral Squamous Cell Carcinoma Treated With Radiotherapy: A Retrospective Study.

PBK Expression Is Associated With Prognosis of Patients With Oral Squamous Cell Carcinoma Treated With Radiotherapy: A Retrospective Study.

Journal: Anticancer research

Published: February 22, 2021

Showing 1-12 of 21

Last Updated: 09/26/2026