Cardiac cavity segmentation review in the past decade: Methods and future perspectives

Neurocomputing, Journal Year: 2025, Volume and Issue: 622, P. 129326 - 129326

Published: Jan. 6, 2025

Language: Английский

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Semi-Supervised Multi-Task Learning for Interpretable Quality Assessment of Fundus Images

Published: Jan. 1, 2025

Language: Английский

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A semi-supervised multi-task assisted method for ultrasound medical image segmentation

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 130217 - 130217

Published: April 1, 2025

Language: Английский

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Deep learning based retinal vessel segmentation and hypertensive retinopathy quantification using heterogeneous features cross-attention neural network

Frontiers in Medicine, Journal Year: 2024, Volume and Issue: 11

Published: May 22, 2024

Retinal vessels play a pivotal role as biomarkers in the detection of retinal diseases, including hypertensive retinopathy. The manual identification these is both resource-intensive and time-consuming. fidelity vessel segmentation automated methods directly depends on fundus images' quality. In instances sub-optimal image quality, applying deep learning-based methodologies emerges more effective approach for precise segmentation. We propose heterogeneous neural network combining benefit local semantic information extraction convolutional long-range spatial features mining transformer structures. Such cross-attention structure boosts model's ability to tackle structures images. Experiments four publicly available datasets demonstrate our superior performance big potential retinopathy quantification.

Language: Английский

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Source-free Domain Adaptation Framework Based on Confidence Constrained Mean Teacher for Fundus Image Segmentation

Neurocomputing, Journal Year: 2024, Volume and Issue: unknown, P. 129262 - 129262

Published: Dec. 1, 2024

Language: Английский

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