RADCU-Net: residual attention and dual-supervision cascaded U-Net for retinal blood vessel segmentation | International Journal of Machine Learning and Cybernetics |
- Science: Mathematics: Instruments and machines: Electronic computers. Computer science
- Technology: Mechanical engineering and machinery
- Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
- Science: Mathematics: Instruments and machines: Electronic computers. Computer science
| 11 | 2023 |
Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity | Multimedia Tools and Applications |
- Science: Science (General): Cybernetics: Information theory
- Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
- Science: Mathematics: Instruments and machines: Electronic computers. Computer science
- Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
- Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
- Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
- Science: Mathematics: Instruments and machines: Electronic computers. Computer science
| 12 | 2022 |
10.4018/IJFSA.296693 | | | | 2022 |
Efficient Segmentation and Registration of Retinal Image Using Gumble Probability Distribution and BRISK Feature | Traitement du Signal |
- Science: Mathematics: Instruments and machines: Electronic computers. Computer science
- Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
- Technology: Engineering (General). Civil engineering (General)
| 7 | 2020 |
10.1016/S2213-8587(19)30411-5 | | | | 2020 |