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06/12/2023
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation
In this work, we present a robust approach for joint part and object seg...
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03/27/2023
Label-Free Liver Tumor Segmentation
We demonstrate that AI models can accurately segment liver tumors withou...
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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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12/03/2021
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification
Recent advances in automated skin cancer diagnosis have yielded performa...
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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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03/14/2021
TransFG: A Transformer Architecture for Fine-grained Recognition
Fine-grained visual classification (FGVC) which aims at recognizing obje...
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03/09/2021
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
The boundary of tumors (hepatocellular carcinoma, or HCC) contains rich ...
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03/05/2021
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety...
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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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09/09/2020
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Deep learning-based semi-supervised learning (SSL) algorithms have led t...
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12/06/2019
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
Tubular structure segmentation in medical images, e.g., segmenting vesse...
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03/29/2019