FTMF-net: A Fourier transform-multiscale feature fusion network for segmentation of small polyp objects
G Liu, Z Chen, D Liu, B Chang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The detection and resection of small polyp objects in colonoscopy images are of great
significance for the prevention of colorectal cancer (CRC). At present, blurred edges …
significance for the prevention of colorectal cancer (CRC). At present, blurred edges …
Semi-supervised domain adaptive medical image segmentation through consistency regularized disentangled contrastive learning
Although unsupervised domain adaptation (UDA) is a promising direction to alleviate
domain shift, they fall short of their supervised counterparts. In this work, we investigate …
domain shift, they fall short of their supervised counterparts. In this work, we investigate …
Domain-interactive Contrastive Learning and Prototype-guided Self-training for Cross-domain Polyp Segmentation
Accurate polyp segmentation plays a critical role from colonoscopy images in the diagnosis
and treatment of colorectal cancer. While deep learning-based polyp segmentation models …
and treatment of colorectal cancer. While deep learning-based polyp segmentation models …
Unpaired image-to-image translation based domain adaptation for polyp segmentation
Deep polyp segmentation methods have made tremendous progress recently. However,
due to the domain shift among different imaging modalities, existing methods learned on …
due to the domain shift among different imaging modalities, existing methods learned on …
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey
Colorectal polyp segmentation (CPS), an essential problem in medical image analysis, has
garnered growing research attention. Recently, the deep learning-based model completely …
garnered growing research attention. Recently, the deep learning-based model completely …
MBDA-Net: Multi-source boundary-aware prototype alignment domain adaptation for polyp segmentation
J Yan, H Zhu, T Hou, N Chen, W Lu, Y Wang… - … Signal Processing and …, 2024 - Elsevier
Accurate segmentation of polyps in colonoscopy images is important for the prevention and
treatment of colorectal cancer. However, samples collected from different centers often …
treatment of colorectal cancer. However, samples collected from different centers often …
TriLA: Triple-Level Alignment based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup
Cross-domain joint segmentation of optic disc and optic cup on fundus images is essential,
yet challenging, for effective glaucoma screening. Although many unsupervised domain …
yet challenging, for effective glaucoma screening. Although many unsupervised domain …
Generalizable Polyp Segmentation via Randomized Global Illumination Augmentation
Z Zhang, Y Li, BS Shin - IEEE Journal of Biomedical and …, 2024 - ieeexplore.ieee.org
Accuratelysegmenting polyps from colonoscopy images is essential for diagnosing
colorectal cancer. Despite the tremendous success of the deep convolutional neural …
colorectal cancer. Despite the tremendous success of the deep convolutional neural …
RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation
X Liu, J Wu, X Luo, W Liao, S Zhang… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Deep neural networks have shown promising performance for automatic segmentation of
Gross Tumor Volume (GTV) of Nasopharyngeal Carcinoma (NPC). However, models trained …
Gross Tumor Volume (GTV) of Nasopharyngeal Carcinoma (NPC). However, models trained …