Towards Enhanced Classification of Abnormal Lung sound in Multi-breath: A Light Weight Multi-label and Multi-head Attention Classification Method.
CoRR, 2024
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures.
CoRR, 2024
Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA - A Semi-Supervised Video Object Detection Method.
CoRR, 2024
Using Spatio-Temporal Dual-Stream Network with Self-Supervised Learning for Lung Tumor Classification on Radial Probe Endobronchial Ultrasound Video.
CoRR, 2023
Using DeepLab v3 + -based semantic segmentation to evaluate platelet activation.
Medical Biol. Eng. Comput., 2022
Detecting Pulmonary Embolism from Computed Tomography Using Convolutional Neural Network.
CoRR, 2022
Computerized Tomography Pulmonary Angiography Image Simulation using Cycle Generative Adversarial Network from Chest CT imaging in Pulmonary Embolism Patients.
CoRR, 2022
Feature-enhanced Adversarial Semi-supervised Semantic Segmentation Network for Pulmonary Embolism Annotation.
CoRR, 2022
Convolutional Neural Network for Early Pulmonary Embolism Detection via Computed Tomography Pulmonary Angiography.
CoRR, 2022
The interpretation of endobronchial ultrasound image using 3D convolutional neural network for differentiating malignant and benign mediastinal lesions.
CoRR, 2021
Passive Magnetic-Flux-Concentrator Based Electromagnetic Targeting System for Endobronchoscopy.
Sensors, 2019
Using Micro-Molding and Stamping to Fabricate Conductive Polydimethylsiloxane-Based Flexible High-Sensitivity Strain Gauges.
Sensors, 2018