223 citations · 232 across the 8 of their papers we have counts for
8 papers
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision
Changjian Chen, Yukai Guo, Fengyuan Tian +7
Existing model evaluation tools mainly focus on evaluating classification models, leaving a gap in evaluating more complex models, such as object detection. In this paper, we devel…
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Junde Wu, Wei Ji, Yuanpei Liu +4
The Segment Anything Model (SAM) has recently gained popularity in the field of image segmentation due to its impressive capabilities in various segmentation tasks and its prompt-b…
SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
Junde Wu, Huihui Fang, Fangxin Shang +5
Clinically, the accurate annotation of lesions/tissues can significantly facilitate the disease diagnosis. For example, the segmentation of optic disc/cup (OD/OC) on fundus image w…
Learning self-calibrated optic disc and cup segmentation from multi-rater annotations
Junde Wu, Huihui Fang, Fangxin Shang +5
The segmentation of optic disc(OD) and optic cup(OC) from fundus images is an important fundamental task for glaucoma diagnosis. In the clinical practice, it is often necessary to…
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
Zhao-Yang Wang, Xiao-Yun Zhou, Peichao Li +2
3D shape instantiation which reconstructs the 3D shape of a target from limited 2D images or projections is an emerging technique for surgical intervention. It improves the current…
Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation
Peichao Li, Xiao-Yun Zhou, Zhao-Yang Wang +1
Accurate volume segmentation from the Computed Tomography (CT) scan is a common prerequisite for pre-operative planning, intra-operative guidance and quantitative assessment of the…
U-Net Training with Instance-Layer Normalization
Xiao-Yun Zhou, Peichao Li, Zhao-Yang Wang +1
Normalization layers are essential in a Deep Convolutional Neural Network (DCNN). Various normalization methods have been proposed. The statistics used to normalize the feature map…
One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
Xiao-Yun Zhou, Zhao-Yang Wang, Peichao Li +2
Shape instantiation which predicts the 3D shape of a dynamic target from one or more 2D images is important for real-time intra-operative navigation. Previously, a general shape in…