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08/17/2023
URL: Combating Label Noise for Lung Nodule Malignancy Grading
Due to the complexity of annotation and inter-annotator variability, mos...
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07/22/2023
A Quantitative Analysis of Open Source Software Code Quality: Insights from Metric Distributions
Code quality is a crucial construct in open-source software (OSS) with t...
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06/24/2023
SAM++: Enhancing Anatomic Matching using Semantic Information and Structural Inference
Medical images like CT and MRI provide detailed information about the in...
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06/08/2023
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation
Deep learning-based medical image segmentation models suffer from perfor...
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06/07/2023
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation
The hybrid architecture of convolution neural networks (CNN) and Transfo...
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06/02/2023
Transformer-based Annotation Bias-aware Medical Image Segmentation
Manual medical image segmentation is subjective and suffers from annotat...
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05/31/2023
Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation
Although recent years have witnessed the great success of convolutional ...
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04/10/2023
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation
Glaucoma is one of the leading causes of irreversible blindness. Segment...
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04/07/2023
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner
The universal model emerges as a promising trend for medical image segme...
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03/27/2023
An End-to-End Framework For Universal Lesion Detection With Missing Annotations
Fully annotated large-scale medical image datasets are highly valuable. ...
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12/16/2022
Instance-specific Label Distribution Regularization for Learning with Label Noise
Modeling noise transition matrix is a kind of promising method for learn...
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11/21/2022
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation
The domain discrepancy existed between medical images acquired in differ...
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11/13/2022
Learning from partially labeled data for multi-organ and tumor segmentation
Medical image benchmarks for the segmentation of organs and tumors suffe...
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08/29/2022
Boundary-Aware Network for Abdominal Multi-Organ Segmentation
Automated abdominal multi-organ segmentation is a crucial yet challengin...
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08/29/2022
Boundary-Aware Network for Kidney Parsing
Kidney structures segmentation is a crucial yet challenging task in the ...
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08/29/2022
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis
Carotid vessel wall segmentation is a crucial yet challenging task in th...
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02/10/2022
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging
In our previous work, i.e., HNF-Net, high-resolution feature representat...
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01/10/2022
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
Assessment of myocardial viability is essential in diagnosis and treatme...
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12/17/2021
Unified 2D and 3D Pre-training for Medical Image classification and Segmentation
Self-supervised learning (SSL) opens up huge opportunities for better ut...
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12/04/2021
Dual-Flow Transformation Network for Deformable Image Registration with Region Consistency Constraint
Deformable image registration is able to achieve fast and accurate align...
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12/02/2021
CEV Framework: A Central Bank Digital Currency Evaluation and Verification Framework with Focus of Consensus Algorithms and Operating Models
We propose a general framework (CEV Framework) for recommending and veri...
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11/26/2021
Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators
Manual annotation of medical images is highly subjective, leading to ine...
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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+) ...
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09/13/2021
Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation
The domain gap caused mainly by variable medical image quality renders a...
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08/09/2021
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images
Automated and accurate segmentation of the infected regions in computed ...
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08/09/2021
Boundary-aware Graph Reasoning for Semantic Segmentation
In this paper, we propose a Boundary-aware Graph Reasoning (BGR) module ...
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04/23/2021
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction
Lung nodule malignancy prediction is an essential step in the early diag...
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03/04/2021
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Convolutional neural networks (CNNs) have been the de facto standard for...
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12/30/2020
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task
In this paper, we propose a Hybrid High-resolution and Non-local Feature...
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12/13/2020
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach
Using radiological scans to identify liver tumors is crucial for proper ...
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11/30/2020
Inter-layer Transition in Neural Architecture Search
Differential Neural Architecture Search (NAS) methods represent the netw...
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11/28/2020
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Automated and accurate 3D medical image segmentation plays an essential ...
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11/25/2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
It has been widely recognized that the success of deep learning in image...
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11/20/2020
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Due to the intensive cost of labor and expertise in annotating 3D medica...
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10/09/2020
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation
Analyzing the morphological attributes of blood vessels plays a critical...
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08/06/2020
Pairwise Relation Learning for Semi-supervised Gland Segmentation
Accurate and automated gland segmentation on histology tissue images is ...
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03/27/2020
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection
Coronaviruses are important human and animal pathogens. To date the nove...
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08/14/2019
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
Assessing the location and extent of lesions caused by chronic stroke is...
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03/08/2019
Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation
Automated skin lesion segmentation on dermoscopy images is an essential ...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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07/24/2018
Residual Network based Aggregation Model for Skin Lesion Classification
We recognize that the skin lesion diagnosis is an essential and challeng...
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07/23/2018
A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images
A multi-level deep ensemble (MLDE) model that can be trained in an 'end ...
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07/18/2018
3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation
Advanced deep learning methods have been developed to conduct prostate M...
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07/09/2018
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Computer-aided techniques may lead to more accurate and more acces-sible...
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07/02/2018
A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency
Detection of pulmonary nodules on chest CT is an essential step in the e...
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07/01/2018
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification
Recent years have witnessed the breakthrough success of deep convolution...
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06/28/2017
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning
The Classification of medical images and illustrations in the literature...
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04/28/2017
