Multi scale multi attention network for blood vessel segmentation in fundus images
Abstract Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treatment of vision-threatening ailments. However, this task is challenging due to limited contextual information, variations in vessel thicknesses, the complexity of vessel structures, and the po...
Saved in:
Main Authors: | Giri Babu Kande, Madhusudana Rao Nalluri, R. Manikandan, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-84255-w |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A multi-modal geospatial–temporal LSTM based deep learning framework for predictive modeling of urban mobility patterns
by: Sangeetha S.K.B, et al.
Published: (2024-12-01) -
A multi-modal multi-branch framework for retinal vessel segmentation using ultra-widefield fundus photographs
by: Qihang Xie, et al.
Published: (2025-01-01) -
Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival
by: S. Geeitha, et al.
Published: (2024-12-01) -
An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data
by: S. K. B. Sangeetha, et al.
Published: (2025-01-01) -
THE ALGORITHM OF DETERMINATION OF EYE FUNDUS VESSELS BLOOD FLOW CHARACTERISTICS ON VIDEOSEQUENCE
by: O. V. Nedzvedz, et al.
Published: (2018-03-01)