research
∙
06/23/2023
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Multimodal Large Language Model (MLLM) relies on the powerful LLM to per...
share
research
∙
03/10/2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Open international challenges are becoming the de facto standard for ass...
research
∙
02/25/2022
Faithful learning with sure data for lung nodule diagnosis
Recent evolution in deep learning has proven its value for CT-based lung...
research
∙
06/24/2021
Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset
To investigate whether the pleurae, airways and vessels surrounding a no...
research
∙
12/10/2020
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
Training convolutional neural networks (CNNs) for segmentation of pulmon...
research
∙
11/24/2020
Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation
Automated airway segmentation is a prerequisite for pre-operative diagno...
research
∙
07/16/2019
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
Airway segmentation on CT scans is critical for pulmonary disease diagno...
research
∙
10/13/2018
