Diverter transformer-based multi-encoder-multi-decoder network model for medical retinal blood vessel image segmentation

C Wu, M Guo, M Ma, K Wang - Biomedical Signal Processing and Control, 2024 - Elsevier
The retinal blood vessel is an essential part of the fundus structure. It is important to
accurately analyze the structure and distribution of retinal vessels, which can help make …

Hyperspectral image classification with retentive network

S Paheding, N Zahan, AA Reyes… - … and Tracking XXXV, 2024 - spiedigitallibrary.org
The rapid progress in deep learning, particularly in convolutional neural networks (CNNs),
has significantly enhanced the effectiveness and efficiency of hyperspectral image (HSI) …

Integrating Grey Wolf Optimizer

BSN Benarji, J Bakkiyaraj… - Proceedings of the First …, 2024 - books.google.com
Abstract Retinal Vessel Segmentation (RVS) is pivotal in diagnosing and monitoring ocular
diseases. While Deep Learning (DL) methodologies, particularly Convolutional Neural …

Integrating Grey Wolf Optimizer with U-Net for Precision Retinal Vessel Segmentation in Fundus Images

S Sengan, B Lambture, AJP Lazar, BSN Benarji… - … Conference on Data …, 2023 - Springer
Abstract Retinal Vessel Segmentation (RVS) is pivotal in diagnosing and monitoring ocular
diseases. While Deep Learning (DL) methodologies, particularly Convolutional Neural …

[PDF][PDF] MaSA-UNet: Manhattan Self-Attention UNet with Weighted Composed Loss for Skin Lesion Segmentation

AA Reyes-Angulo, S Paheding - research.latinxinai.org
Melanoma is one of the deadliest forms of skin cancer in the USA, with a survival rate of 23%
for delayed diagnosis. However, early detection could extend the survival rate up to 99 …