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09/18/2023
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency
Multi-organ segmentation in abdominal Computed Tomography (CT) images is...
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08/24/2023
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification
Convolutional neural networks excel in histopathological image classific...
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06/29/2023
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset
Pretraining with large-scale 3D volumes has a potential for improving th...
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08/19/2022
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation
Background and Objective: Existing deep learning platforms for medical i...
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08/11/2022
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation
The success of Convolutional Neural Networks (CNNs) in 3D medical image ...
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03/08/2022
Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping
Skull stripping is a crucial prerequisite step in the analysis of brain ...
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03/04/2022
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision
Medical image segmentation plays an irreplaceable role in computer-assis...
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12/09/2021
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer
Recently, deep learning with Convolutional Neural Networks (CNNs) and Tr...
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07/10/2021
Few-Shot Domain Adaptation with Polymorphic Transformers
Deep neural networks (DNNs) trained on one set of medical images often e...
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05/20/2021
Medical Image Segmentation using Squeeze-and-Expansion Transformers
Medical image segmentation is important for computer-aided diagnosis. Go...
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04/12/2021
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching
Automatic and accurate lung nodule detection from 3D Computed Tomography...
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12/13/2020
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma
Gross Target Volume (GTV) segmentation plays an irreplaceable role in ra...
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11/01/2020
Learning Euler's Elastica Model for Medical Image Segmentation
Image segmentation is a fundamental topic in image processing and has be...
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09/09/2020
