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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...
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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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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...
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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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07/22/2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction
Multi-modal learning focuses on training models by equally combining mul...
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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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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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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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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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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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08/17/2019
A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification
Recently, Attention-Gated Convolutional Neural Networks (AGCNNs) perform...
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08/10/2019
Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks
Activation functions play a key role in providing remarkable performance...
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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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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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05/25/2018
struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding
Network embedding (NE) is playing a principal role in network mining, du...
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06/28/2017
