research
∙
07/18/2023
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
Chest X-ray (CXR) anatomical abnormality detection aims at localizing an...
share
research
∙
03/09/2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
Multimodal magnetic resonance imaging (MRI) provides complementary infor...
research
∙
03/01/2023
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training
As an essential indicator for cancer progression and treatment response,...
research
∙
01/30/2023
Advancing Radiograph Representation Learning with Masked Record Modeling
Modern studies in radiograph representation learning rely on either self...
research
∙
01/11/2023
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis
Self-supervised representation learning has been extremely successful in...
research
∙
11/16/2022
Lesion Guided Explainable Few Weak-shot Medical Report Generation
Medical images are widely used in clinical practice for diagnosis. Autom...
research
∙
11/10/2022
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
Automated detecting lung infections from computed tomography (CT) data p...
research
∙
10/27/2022
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture
Recent medical image segmentation models are mostly hybrid, which integr...
research
∙
07/11/2022
Personalizing Federated Medical Image Segmentation via Local Calibration
Medical image segmentation under federated learning (FL) is a promising ...
research
∙
07/01/2022
A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos
Breast lesion detection in ultrasound is critical for breast cancer diag...
research
∙
06/02/2022
XBound-Former: Toward Cross-scale Boundary Modeling in Transformers
Skin lesion segmentation from dermoscopy images is of great significance...
research
∙
04/23/2022
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation
Semantic segmentation is important in medical image analysis. Inspired b...
research
∙
04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
research
∙
03/07/2022
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network
Fully convolutional neural networks have made promising progress in join...
research
∙
03/04/2022
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images
Automated surface segmentation of retinal layer is important and challen...
research
∙
12/06/2021
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
Automatic delineation of organ-at-risk (OAR) and gross-tumor-volume (GTV...
research
∙
11/08/2021
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network
We propose a novel shape-aware relation network for accurate and real-ti...
research
∙
11/04/2021
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports
Pre-training lays the foundation for recent successes in radiograph anal...
research
∙
10/09/2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
Rare diseases are characterized by low prevalence and are often chronica...
research
∙
10/08/2021
Boundary-aware Transformers for Skin Lesion Segmentation
Skin lesion segmentation from dermoscopy images is of great importance f...
research
∙
09/28/2021
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
Performing a real-time and accurate instrument segmentation from videos ...
research
∙
09/07/2021
nnFormer: Interleaved Transformer for Volumetric Segmentation
Transformers, the default model of choices in natural language processin...
research
∙
07/19/2021
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation
Universal lesion detection in computed tomography (CT) images is an impo...
research
∙
07/17/2020
Superpixel-Guided Label Softening for Medical Image Segmentation
Segmentation of objects of interest is one of the central tasks in medic...
research
∙
03/23/2020
Robust Medical Instrument Segmentation Challenge 2019
Intraoperative tracking of laparoscopic instruments is often a prerequis...
research
∙
07/30/2017
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images
Lymph node metastasis is one of the most significant diagnostic indicato...
research
∙
06/06/2017