1.2k citations · 1.3k across the 5 of their papers we have counts for
5 papers
PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis
Ye Zhang, Yu Zhou, Jingwen Qi +11
Deep learning based automated pathological diagnosis has markedly improved diagnostic efficiency and reduced variability between observers, yet its clinical adoption remains limite…
Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers
Kuan Liu, Zongyuan Ying, Jie Jin +8
The conversion from 2D X-ray to 3D shape holds significant potential for improving diagnostic efficiency and safety. However, existing reconstruction methods often rely on hand-cra…
A Joint Representation Using Continuous and Discrete Features for Cardiovascular Diseases Risk Prediction on Chest CT Scans
Minfeng Xu, Chen-Chen Fan, Yan-Jie Zhou +6
Cardiovascular diseases (CVD) remain a leading health concern and contribute significantly to global mortality rates. While clinical advancements have led to a decline in CVD morta…
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li +106
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…
Global and Local Information Based Deep Network for Skin Lesion Segmentation
Jin Qi, Miao Le, Chunming Li +1
With a large influx of dermoscopy images and a growing shortage of dermatologists, automatic dermoscopic image analysis plays an essential role in skin cancer diagnosis. In this pa…