Wei-hsiang Yu

TPQ, Taiwan

Last Updated: 09/26/2026

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Found 11 publications

Integration of Histologic Pattern Classifiers and Graph Convolutional Networks for Prognostic Prediction in Lung Adenocarcinoma.

Integration of Histologic Pattern Classifiers and Graph Convolutional Networks for Prognostic Prediction in Lung Adenocarcinoma.

Journal: JTO clinical and research reports
Published: December 23, 2025

Assessing the influence of two deep-learning assistance modes on pathologists in cancer identification.

Assessing the influence of two deep-learning assistance modes on pathologists in cancer identification.

Journal: Diagnostic pathology
Published: October 25, 2025

Deep Residual Learning-Based Classification with Identification of Incorrect Predictions and Quantification of Cellularity and Nuclear Morphological Features in Digital Pathological Images of Common Astrocytic Tumors.

Deep Residual Learning-Based Classification with Identification of Incorrect Predictions and Quantification of Cellularity and Nuclear Morphological Features in Digital Pathological Images of Common Astrocytic Tumors.

Journal: Cancers
Published: June 11, 2024

The spectrum of intestinal mature T- and NK-cell neoplasms in a tertiary center in Taiwan with a high frequency of perforation.

The spectrum of intestinal mature T- and NK-cell neoplasms in a tertiary center in Taiwan with a high frequency of perforation.

Journal: Pathology, research and practice
Published: August 22, 2022

Deep Learning-Based Nuclear Morphometry Reveals an Independent Prognostic Factor in Mantle Cell Lymphoma.

Deep Learning-Based Nuclear Morphometry Reveals an Independent Prognostic Factor in Mantle Cell Lymphoma.

Journal: The American journal of pathology
Published: May 10, 2022

Machine Learning Based on Morphological Features Enables Classification of Primary Intestinal T-Cell Lymphomas.

Machine Learning Based on Morphological Features Enables Classification of Primary Intestinal T-Cell Lymphomas.

Journal: Cancers
Published: September 22, 2021

Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images.

Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images.

Journal: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Published: March 25, 2021

Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural network.

Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural network.

Journal: Annals of translational medicine
Published: February 08, 2021

An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning.

An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning.

Journal: Nature communications
Published: July 24, 2020

Successful Identification of Nasopharyngeal Carcinoma in Nasopharyngeal Biopsies Using Deep Learning.

Successful Identification of Nasopharyngeal Carcinoma in Nasopharyngeal Biopsies Using Deep Learning.

Journal: Cancers
Published: January 22, 2020

Deep Convolutional Neural Network-Based Positron Emission Tomography Analysis Predicts Esophageal Cancer Outcome.

Deep Convolutional Neural Network-Based Positron Emission Tomography Analysis Predicts Esophageal Cancer Outcome.

Journal: Journal of clinical medicine
Published: May 13, 2019
Showing 1-11 of 11

Last Updated: 09/26/2026