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08/28/2023
DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation
We propose DISC-MedLLM, a comprehensive solution that leverages Large La...
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05/08/2022
DxFormer: A Decoupled Automatic Diagnostic System Based on Decoder-Encoder Transformer with Dense Symptom Representations
Diagnosis-oriented dialogue system queries the patient's health conditio...
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04/19/2022
A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets
In recent years, interest has arisen in using machine learning to improv...
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07/21/2021
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
Liver cancer is one of the most common cancers worldwide. Due to inconsp...
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10/19/2020
Double-Uncertainty Weighted Method for Semi-supervised Learning
Though deep learning has achieved advanced performance recently, it rema...
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10/19/2020
Modality-Pairing Learning for Brain Tumor Segmentation
Automatic brain tumor segmentation from multi-modality Magnetic Resonanc...
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06/23/2020
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation
Coronavirus disease 2019 (COVID-19) is a highly contagious virus spreadi...
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12/02/2019
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
There is a large body of literature linking anatomic and geometric chara...
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11/01/2019
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database
Liver tumor segmentation plays an important role in hepatocellular carci...
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10/05/2019
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes
Automated segmentation of kidney and tumor from 3D CT scans is necessary...
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07/24/2018