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Found 15 papers, 7 papers with code
Generative Semantic Communication for Joint Image Transmission and Segmentation
Our approach builds upon semantic knowledge bases (KBs) at both the transmitter and receiver, with each semantic KB comprising a source KB and a task KB.
Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence
Notably, UltraFedFM surpasses the diagnostic accuracy of mid-level ultrasonographers and matches the performance of expert-level sonographers in the joint diagnosis of 8 common systemic diseases.
MixPolyp: Integrating Mask, Box and Scribble Supervision for Enhanced Polyp Segmentation
Limited by the expensive labeling, polyp segmentation models are plagued by data shortages.
Let Video Teaches You More: Video-to-Image Knowledge Distillation using DEtection TRansformer for Medical Video Lesion Detection
The teacher network aims at extracting temporal contexts from multiple frames and transferring them to the student network, and the student network is an image-based model dedicated to fast prediction in inference.
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
Based on this dataset, we further introduce a benchmark model for colorectal cancer segmentation, named the Adaptive Sparse-context TRansformer (ASTR).
ScribblePolyp: Scribble-Supervised Polyp Segmentation through Dual Consistency Alignment
The second branch leverages affinity propagation to refine predictions into a soft version, extending additional supervision to unlabeled pixels.
WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
In contrast, polyp bounding box annotations are much cheaper and more accessible.
Ranked #4 on
Video Polyp Segmentation
on SUN-SEG-Easy
BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations
In practice, box annotations are applied to alleviate the over-fitting issue of previous polyp segmentation models, which generate fine-grained polyp area through the iterative boosted segmentation model.
What is the cost of adding a constraint in linear least squares?
Although the theory of constrained least squares (CLS) estimation is well known, it is usually applied with the view that the constraints to be imposed are unavoidable.
Adaptive Residue-wise Profile Fusion for Low Homologous Protein SecondaryStructure Prediction Using External Knowledge
Protein secondary structure prediction (PSSP) is essential for protein function analysis.
Shallow Attention Network for Polyp Segmentation
To address the above issues, we propose the Shallow Attention Network (SANet) for polyp segmentation.
Ranked #11 on
Video Polyp Segmentation
on SUN-SEG-Easy (Unseen)
Shallow Feature Matters for Weakly Supervised Object Localization
In practice, our SPOL model first generates the CAMs through a novel element-wise multiplication of shallow and deep feature maps, which filters the background noise and generates sharper boundaries robustly.
Label Decoupling Framework for Salient Object Detection
Though remarkable progress has been achieved, we observe that the closer the pixel is to the edge, the more difficult it is to be predicted, because edge pixels have a very imbalance distribution.
Ranked #1 on
Saliency Detection
on HKU-IS
MedSRGAN: medical images super-resolution using generative adversarial networks
Super-resolution (SR) in medical imaging is an emerging application in medical imaging due to the needs of high quality images acquired with limited radiation dose, such as low dose Computer Tomography (CT), low field magnetic resonance imaging (MRI).
F3Net: Fusion, Feedback and Focus for Salient Object Detection
Furthermore, different from binary cross entropy, the proposed PPA loss doesn't treat pixels equally, which can synthesize the local structure information of a pixel to guide the network to focus more on local details.
Ranked #5 on
Salient Object Detection
on DUT-OMRON
Camouflaged Object Segmentation
Dichotomous Image Segmentation
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