An intelligent mechanism to detect multi-factor skin cancer

A Siddique, K Shaukat, T Jan - Diagnostics, 2024 - mdpi.com
Deep learning utilizing convolutional neural networks (CNNs) stands out among the state-of-
the-art procedures in PC-supported medical findings. The method proposed in this paper …

[PDF][PDF] Unet and variants for medical image segmentation

W Ehab, L Huang, Y Li - 2024 - bura.brunel.ac.uk
Medical imaging plays a crucial role in modern healthcare by providing non-invasive
visualisation of internal structures and abnormalities, enabling early disease detection …

Retinal layer segmentation in optical coherence tomography images

BI Dodo, Y Li, D Kaba, X Liu - IEEE Access, 2019 - ieeexplore.ieee.org
The four major causes of blindness are age-related diseases, out of which three affects the
retina. These diseases, ie, glaucoma, diabetic retinopathy, and age-related macular …

Performance Analysis of UNet and Variants for Medical Image Segmentation

W Ehab, Y Li - arXiv preprint arXiv:2309.13013, 2023 - arxiv.org
Medical imaging plays a crucial role in modern healthcare by providing non-invasive
visualisation of internal structures and abnormalities, enabling early disease detection …

[HTML][HTML] Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning

M Gende, J de Moura, JI Fernández-Vigo… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Glaucoma is the leading global cause of irreversible blindness. Glaucoma
patients experience a progressive deterioration of the retinal nervous tissues that begins …

Synthetic OCT data in challenging conditions: three-dimensional OCT and presence of abnormalities

H Danesh, K Maghooli, A Dehghani… - Medical & Biological …, 2022 - Springer
Nowadays, retinal optical coherence tomography (OCT) plays an important role in
ophthalmology and automatic analysis of the OCT is of real importance: image denoising …

Location-specific thickness patterns in intermediate age-related macular degeneration reveals anatomical differences in multiple retinal layers

M Trinh, V Khou, M Kalloniatis… - … & Visual Science, 2021 - iovs.arvojournals.org
Purpose: To examine individual retinal layers' location-specific patterns of thicknesses in
intermediate age-related macular degeneration (iAMD) using optical coherence tomography …

Automatic segmentation of the retinal nerve fiber layer by means of mathematical morphology and deformable models in 2d optical coherence tomography imaging

R Berenguer-Vidal, R Verdú-Monedero… - Sensors, 2021 - mdpi.com
Glaucoma is a neurodegenerative disease process that leads to progressive damage of the
optic nerve to produce visual impairment and blindness. Spectral-domain OCT technology …

Appropriate identification of age-related macular degeneration using OCT images

M Hani, A Ben Slama, I Zghal… - Computer Methods in …, 2021 - Taylor & Francis
This paper presents an automatic approach for macular degeneration diagnostic by adding
pertinent features in the evaluation process. In macular abnormality identification, the …

Skin Lesion Diagnosis Using Convolutional Neural Networks

DAV Nunez, Y Li - arXiv preprint arXiv:2305.11125, 2023 - arxiv.org
Cancerous skin lesions are one of the most common malignancies detected in humans, and
if not detected at an early stage, they can lead to death. Therefore, it is crucial to have …