research
∙
07/28/2023
Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification
Finding abnormal lymph nodes in radiological images is highly important ...
share
research
∙
07/20/2023
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
Lung cancer is a leading cause of death worldwide and early screening is...
research
∙
07/07/2023
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images
Radiotherapists require accurate registration of MR/CT images to effecti...
research
∙
02/11/2023
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation
Self-supervised learning (SSL) has recently achieved promising performan...
research
∙
02/01/2023
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans
Deep learning empowers the mainstream medical image segmentation methods...
research
∙
01/28/2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Human readers or radiologists routinely perform full-body multi-organ mu...
research
∙
12/05/2022
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding
Automatic parsing of human anatomies at instance-level from 3D computed ...
research
∙
08/02/2022
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation
Accurate and robust abdominal multi-organ segmentation from CT imaging o...
research
∙
09/21/2021
Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation
In this paper, we proposed a novel mutual consistency network (MC-Net+) ...
research
∙
03/04/2021
