Analysis of retinal blood vessel segmentation techniques: a systematic survey DOI
K. Kumar, Nagendra Singh

Multimedia Tools and Applications, Journal Year: 2022, Volume and Issue: 82(5), P. 7679 - 7733

Published: July 7, 2022

Language: Английский

VisionDeep-AI: Deep learning-based retinal blood vessels segmentation and multi-class classification framework for eye diagnosis DOI
Rakesh Chandra Joshi, Anuj Kumar Sharma, Malay Kishore Dutta

et al.

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 94, P. 106273 - 106273

Published: March 28, 2024

Language: Английский

Citations

7
Dual-channel asymmetric convolutional neural network for an efficient retinal blood vessel segmentation in eye fundus images DOI
Yanan Xu,

Yingle Fan

Journal of Applied Biomedicine, Journal Year: 2022, Volume and Issue: 42(2), P. 695 - 706

Published: April 1, 2022

Language: Английский

Citations

28
DilUnet: A U-net based architecture for blood vessels segmentation DOI
Snawar Hussain, Fan Guo, Weiqing Li

et al.

Computer Methods and Programs in Biomedicine, Journal Year: 2022, Volume and Issue: 218, P. 106732 - 106732

Published: March 5, 2022

Language: Английский

Citations

27
Deep matched filtering for retinal vessel segmentation DOI
Yubo Tan, Kai-Fu Yang, Shixuan Zhao

et al.

Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 283, P. 111185 - 111185

Published: Nov. 10, 2023

Language: Английский

Citations

16
Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation DOI Creative Commons
Erick Rodrí­guez-Esparza, Oscar Ramos-Soto, Antonio D. Masegosa

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 29503 - 29524

Published: Jan. 1, 2024

Language: Английский

Citations

5
Nature and Biologically Inspired Image Segmentation Techniques DOI
Simrandeep Singh, Nitin Mittal, Diksha Thakur

et al.

Archives of Computational Methods in Engineering, Journal Year: 2021, Volume and Issue: 29(3), P. 1415 - 1442

Published: June 26, 2021

Language: Английский

Citations

30
Automatic melanoma detection using discrete cosine transform features and metadata on dermoscopic images DOI Creative Commons
Shamim Yousefi, Samad Najjar-Ghabel, Ramin Danehchin

et al.

Journal of King Saud University - Computer and Information Sciences, Journal Year: 2024, Volume and Issue: 36(2), P. 101944 - 101944

Published: Feb. 1, 2024

Nowadays, raw dermoscopic images in melanoma detection do not have acceptable performance. Machine learning helps detect accurately. There are extensive studies classic and deep learning-based approaches for the literature. Still, they accurate or require high data. This paper proposes a hybrid mechanism automated on based Discrete Cosine Transform features metadata. It is composed of three steps. First, extra information/artifacts deleted; remaining pixels standardized processing. Second, reliability improved by Radon transform, data removed using Top-hat filter, rate increased Wavelet Transform. Then, number reduced Locality Sensitive Discriminant Analysis. The third step divides into test ones to create image-based models Finally, best model selected metadata-based model. Simulation results show that decision tree provides most practical improving accuracy sensitivity. Besides, comparison demonstrate our improves F-Value superior other approaches.

Language: Английский

Citations

4
Multi-Scale Three-Path Network (MSTP-Net): A new architecture for retinal vessel segmentation DOI
Jiahao Wang, Xiaobo Li,

Zhendi Ma

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117100 - 117100

Published: March 1, 2025

Language: Английский

Citations

0
Automatic Segmentation of Retinal Blood Vessel Using the Homomorphic Filter and Multilevel Algorithm DOI

G. Obulesu,

M. Ravi Kishore,

Fahimuddin Shaik

et al.

Cognitive science and technology, Journal Year: 2025, Volume and Issue: unknown, P. 415 - 424

Published: Jan. 1, 2025

Language: Английский

Citations

0
WS-SAM: self-prompting SAM with wavelet and spatial domain for OCTA retinal vessel segmentation DOI
Zhaohui Zhang, Fei Ma, Hongjuan Liu

et al.

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(5)

Published: March 28, 2025

Language: Английский

Citations

0