PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness
We present a novel semi-supervised framework for breast ultrasound (BUS) image
segmentation which is a very challenging task owing to (1) large scale and shape variations …
segmentation which is a very challenging task owing to (1) large scale and shape variations …
Rethinking polyp segmentation from an out-of-distribution perspective
Unlike existing fully-supervised approaches, we rethink colorectal polyp segmentation from
an out-of-distribution perspective with a simple but effective self-supervised learning …
an out-of-distribution perspective with a simple but effective self-supervised learning …
An embedding-unleashing video polyp segmentation framework via region linking and scale alignment
Automatic polyp segmentation from colonoscopy videos is pivotal for advancing computer-
aided screening and diagnostic systems. However, accurate and real-time video polyp …
aided screening and diagnostic systems. However, accurate and real-time video polyp …
HSH-UNet: Hybrid selective high order interactive U-shaped model for automated skin lesion segmentation
R Wu, H Lv, P Liang, X Cui, Q Chang… - Computers in Biology and …, 2024 - Elsevier
The use of computer-assisted clinical dermatologists to diagnose skin diseases is an
important aid. And computer-assisted techniques mainly use deep neural networks …
important aid. And computer-assisted techniques mainly use deep neural networks …
PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets
H Hu, J Zhang, T Yang, Q Hu, Y Yu, Q Huang - Computers in Biology and …, 2024 - Elsevier
Transformer has shown excellent performance in various visual tasks, making its application
in medicine an inevitable trend. Nevertheless, simply using transformer for small-scale …
in medicine an inevitable trend. Nevertheless, simply using transformer for small-scale …
Frontiers in Intelligent Colonoscopy
Colonoscopy is currently one of the most sensitive screening methods for colorectal cancer.
This study investigates the frontiers of intelligent colonoscopy techniques and their …
This study investigates the frontiers of intelligent colonoscopy techniques and their …
Iterative feedback-based models for image and video polyp segmentation
Accurate segmentation of polyps in colonoscopy images has gained significant attention in
recent years, given its crucial role in automated colorectal cancer diagnosis. Many existing …
recent years, given its crucial role in automated colorectal cancer diagnosis. Many existing …
A novel Parallel Cooperative Mean-Teacher framework (PCMT) combined with prediction uncertainty guide and class contrastive learning for semi-supervised polyp …
Y Xia, H Yun, P Liu, M Li - Expert Systems with Applications, 2024 - Elsevier
Polyp segmentation technology based on deep learning can quickly and accurately help
doctors locate lesions, but its development is limited by pixel-level annotations. The polyp …
doctors locate lesions, but its development is limited by pixel-level annotations. The polyp …
Adversarial learning-based domain adaptation algorithm for intracranial artery stenosis detection on multi-source datasets
Intracranial arterial stenosis (ICAS) is characterized by the pathological narrowing or
occlusion of the inner lumen of intracranial blood vessels. However, the retina can indirectly …
occlusion of the inner lumen of intracranial blood vessels. However, the retina can indirectly …
Uncertainty-aware prototypical learning for anomaly detection in medical images
C Huang, Y Shi, B Zhang, K Lyu - Neural Networks, 2024 - Elsevier
Anomalous object detection (AOD) in medical images aims to recognize the anomalous
lesions, and is crucial for early clinical diagnosis of various cancers. However, it is a difficult …
lesions, and is crucial for early clinical diagnosis of various cancers. However, it is a difficult …