VG-DropDNet a robust architecture for blood vessels segmentation on retinal image

A Desiani, B Suprihatin, F Efriliyanti, M Arhami… - IEEE …, 2022 - ieeexplore.ieee.org
Additional layers to the U-Net architecture leads to additional parameters and network
complexity. The Visual Geometry Group (VGG) architecture with 16 backbones can …

A retinal vessel segmentation method based improved U-Net model

K Sun, Y Chen, Y Chao, J Geng, Y Chen - Biomedical Signal Processing …, 2023 - Elsevier
There are two problems in retinal blood vessel segmentation, which are the insufficient
segmentation of small vessels due to the complex curvature morphology of blood vessels …

Cognizance detection during mental arithmetic task using statistical approach

H Karnan, D Uma Maheswari… - Computer Methods in …, 2023 - Taylor & Francis
The handheld diagnosis and analysis are highly dependent on the physiological data in the
clinical sector. Detection of the defect in the neuronal-assisted activity raises the challenge …

CMP-UNet: A Retinal Vessel Segmentation Network Based on Multi-Scale Feature Fusion

Y Gu, R Cao, D Wang, B Lu - Electronics, 2023 - mdpi.com
Retinal vessel segmentation plays a critical role in the diagnosis and treatment of various
ophthalmic diseases. However, due to poor image contrast, intricate vascular structures, and …

Nanostructure analysis in polymeric materials with ion beam based Raman spectroscopy for retinoblastoma tumor imaging using ensemble machine learning …

S Sur, M Sudhakara Reddy, D Paikaray… - Optical and Quantum …, 2023 - Springer
The most common primary intraocular childhood cancer that affects children's and adults'
vision worldwide is retinoblastoma. It is uveal melanoma when contrasting and contrasting …