A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification

R Arian, A Vard, R Kafieh, G Plonka, H Rabbani - Scientific Reports, 2023 - nature.com
Artificial intelligence (AI) algorithms, encompassing machine learning and deep learning,
can assist ophthalmologists in early detection of various ocular abnormalities through the …

Iridology based human health conditions predictions with computer vision and deep learning

VV Avhad, JW Bakal - Biomedical Signal Processing and Control, 2024 - Elsevier
In today's world, ocular diseases have become widespread. The “ocular illness” refers to any
abnormality, impairment, or dysfunction of vision that impacts the eye. The most common …

Mitigation of adversarial noise attacks on skin cancer detection via ordered statistics binary local features

A Liew, S Agaian, L Zhao - Multimodal Image Exploitation and …, 2023 - spiedigitallibrary.org
Skin cancer is the most common type of cancer in United States with 9,500 new cases
diagnosed daily. It is one of the deadliest forms, however early detection and treatments can …

Stitched vision transformer for age-related macular degeneration detection using retinal optical coherence tomography images

MM Azizi, S Abhari, H Sajedi - Plos one, 2024 - journals.plos.org
Age-related macular degeneration (AMD) is an eye disease that leads to the deterioration of
the central vision area of the eye and can gradually result in vision loss in elderly …

[HTML][HTML] A Comprehensive CNN Model for Age-Related Macular Degeneration Classification Using OCT: Integrating Inception Modules, SE Blocks, and ConvMixer

E Yusufoğlu, H Fırat, H Üzen, STA Özçelik, İB Çiçek… - Diagnostics, 2024 - mdpi.com
Background/Objectives: Age-related macular degeneration (AMD) is a significant cause of
vision loss in older adults, often progressing without early noticeable symptoms. Deep …

CircWaveNet: A New Conventional Neural Network Based on Combination of Circlets and Wavelets for Macular OCT Classification

R Arian, A Vard, R Kafieh, G Plonka, H Rabbani - medRxiv, 2023 - medrxiv.org
Computer-aided systems can help the ophthalmologists in early detection of most of ocular
abnormalities using retinal OCT images. The need for more accurate diagnosis increases …

Multi-kernel Wiener local binary patterns for OCT ocular disease detections with resiliency to Gaussian noises

A Liew - Multimodal Image Exploitation and Learning 2024, 2024 - spiedigitallibrary.org
Age-related macular degeneration (AMD) and Diabetic macular edema (DME) develop from
irregularities in a section of the retina, causing vision impairment. Optical Coherence …

Enhancing the resilience of wireless capsule endoscopy imaging against adversarial contrast reduction using color quaternion modulus and phase patterns

A Liew, SS Agaian, L Zhao - Multimodal Image Exploitation …, 2024 - spiedigitallibrary.org
Wireless capsule endoscopy (WCE) offers a minimally invasive approach to inspecting the
gastrointestinal (GI) tract, crucial for diagnosing conditions such as malnutrition, dehydration …

An Efficient Tournament Based Levy Flight Multiverse Optimization for Feature Selection Using Optical Coherence Tomography.

J Joshi, M Mudigonda… - International Journal of …, 2023 - search.ebscohost.com
Retinal disease is a potentially fatal condition that causes blindness, therefore early
prediction of retinal disease is an effective way to minimize the problem of blindness. Optical …

Edge preserving noise removal via extended weighted Okada bitonic plane kernels for spectral domain optical coherence tomography

A Liew, S Agaian - Multimodal Image Exploitation and …, 2023 - spiedigitallibrary.org
Spectral Domain Optical Coherence Tomography (SD-OCT) is a widely used imaging
technique in ophthalmology. However, it often suffers from severe distortion due to speckle …