ArticleProceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition2023
Directional Connectivity-based Segmentation of Medical Images.
Article in Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Spatial Coherence Loss: All Objects Matter in Salient and Camouflaged Object Detection.Pattern recognition · 2026Article
- Cross-modal dual-domain bi-direction feature interaction network for medical imaging semantic segmentation.Scientific reports · 2025Article
- Multi-view ultrasound for diaphragm monitoring and cough strength estimation.Communications medicine · 2025Article
- Efficient Retinal Vessel Segmentation with 78K Parameters.Journal of imaging · 2025Article
- Enhanced Disease Segmentation in Pear Leaves via Edge-Aware Multi-Scale Attention Network.Sensors (Basel, Switzerland) · 2025Article
- CMSAF-Net: integrative network design with enhanced decoder for precision segmentation of pear leaf diseases.Plant methods · 2025Article
- Self-knowledge distillation-empowered directional connectivity transformer for microbial keratitis biomarkers segmentation on slit-lamp photography.Medical image analysis · 2025Article
- DconnLoop: a deep learning model for predicting chromatin loops based on multi-source data integration.BMC bioinformatics · 2025Article
- Grouped multi-scale vision transformer for medical image segmentation.Scientific reports · 2025Article
- FFAE-UNet: An Efficient Pear Leaf Disease Segmentation Network Based on U-Shaped Architecture.Sensors (Basel, Switzerland) · 2025Article
- UnetTransCNN: integrating transformers with convolutional neural networks for enhanced medical image segmentation.Frontiers in oncology · 2025Article
- Identifying retinal pigment epithelium cells in adaptive optics-optical coherence tomography images with partial annotations and superhuman accuracy.Biomedical optics express · 2024Article
- Semi-supervised 3D retinal fluid segmentation via correlation mutual learning with global reasoning attention.Biomedical optics express · 2024Article
- Developing a 10-Layer Retinal Segmentation for MacTel Using Semi-Supervised Learning.Translational vision science & technology · 2024Article
- CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2024Article
- Wavelet-based U-shape network for bioabsorbable vascular stents segmentation in IVOCT images.Frontiers in physiology · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Anatomical consistency in biomarker segmentation is crucial for many medical image analysis tasks. A promising paradigm for achieving anatomically consistent segmentation via deep networks is incorporating pixel connectivity, a basic concept in digital topology, to model inter-pixel relationships. However, previous works on connectivity modeling have ignored the rich channel-wise directional information in the latent space. In this work, we demonstrate that effective disentanglement of directional sub-space from the shared latent space can significantly enhance the feature representation in the connectivity-based network. To this end, we propose a directional connectivity modeling scheme for segmentation that decouples, tracks, and utilizes the directional information across the network. Experiments on various public medical image segmentation benchmarks show the effectiveness of our model as compared to the state-of-the-art methods. Code is available at https://github.com/Zyun-Y/DconnNet.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.