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09/07/2023
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Although deep learning have revolutionized abdominal multi-organ segment...
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08/30/2023
SAM-Med2D
The Segment Anything Model (SAM) represents a state-of-the-art research ...
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07/26/2023
Artifact Restoration in Histology Images with Diffusion Probabilistic Models
Histological whole slide images (WSIs) can be usually compromised by art...
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07/06/2023
CityTrack: Improving City-Scale Multi-Camera Multi-Target Tracking by Location-Aware Tracking and Box-Grained Matching
Multi-Camera Multi-Target Tracking (MCMT) is a computer vision technique...
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04/13/2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Large-scale models pre-trained on large-scale datasets have profoundly a...
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03/08/2023
FCN+: Global Receptive Convolution Makes FCN Great Again
Fully convolutional network (FCN) is a seminal work for semantic segment...
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10/14/2022
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans
Tumor lesion segmentation is one of the most important tasks in medical ...
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09/06/2022
An evaluation of U-Net in Renal Structure Segmentation
Renal structure segmentation from computed tomography angiography (CTA) ...
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09/27/2021
Cyber-Physical Taint Analysis in Multi-stage Manufacturing Systems (MMS): A Case Study
Information flows are intrinsic properties of an multi-stage manufacturi...
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09/26/2021
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images
Radiation therapy (RT) is widely employed in the clinic for the treatmen...
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09/26/2021