CataractNet: An automated cataract detection system using deep learning for fundus images

MS Junayed, MB Islam, A Sadeghzadeh… - IEEE …, 2021 - ieeexplore.ieee.org
Cataract is one of the most common eye disorders that causes vision distortion. Accurate
and timely detection of cataracts is the best way to control the risk and avoid blindness …

Current state and prospects of artificial intelligence in allergy

M van Breugel, RSN Fehrmann, M Bügel, FI Rezwan… - Allergy, 2023 - Wiley Online Library
The field of medicine is witnessing an exponential growth of interest in artificial intelligence
(AI), which enables new research questions and the analysis of larger and new types of …

[HTML][HTML] Remote assessment of eczema severity via AI-powered skin image analytics: A systematic review

L Huang, WH Tang, R Attar, C Gore… - Artificial Intelligence in …, 2024 - Elsevier
Various studies have been published on the remote assessment of eczema severity from
digital camera images. Successful deployment of an accurate and robust AI-powered tool for …

Enhanced deep learning approach for accurate eczema and psoriasis skin detection

M Hammad, P Pławiak, M ElAffendi, AAA El-Latif… - Sensors, 2023 - mdpi.com
This study presents an enhanced deep learning approach for the accurate detection of
eczema and psoriasis skin conditions. Eczema and psoriasis are significant public health …

Automatic eczema classification in clinical images based on hybrid deep neural network

A Rasheed, AI Umar, SH Shirazi, Z Khan… - Computers in Biology …, 2022 - Elsevier
The healthcare sector is the highest priority sector, and people demand the highest services
and care. The fast rise of deep learning, particularly in clinical decision support tools, has …

ScarNet: development and validation of a novel deep CNN model for acne scar classification with a new dataset

MS Junayed, MB Islam, AA Jeny, A Sadeghzadeh… - IEEE …, 2021 - ieeexplore.ieee.org
Acne scarring occurs in 95% of people with acne vulgaris due to collagen loss or gains
when the body is healing the damages of the skin caused by acne inflammation. Accurate …

A deep CNN model for skin cancer detection and classification

MS Junayed, N Anjum, A Noman, B Islam - 2021 - otik.uk.zcu.cz
Skin cancer is one of the most dangerous types of cancers that affect millions of people
every year. The detection of skin cancer in the early stages is an expensive and challenging …

Advancements in Cataract Detection: The Systematic Development of LeNet-Convolutional Neural Network Models

T Ganokratanaa, M Ketcham, P Pramkeaw - Journal of Imaging, 2023 - mdpi.com
Regular screening and timely treatment play a crucial role in addressing the progression
and visual impairment caused by cataracts, the leading cause of blindness in Thailand and …

[PDF][PDF] Deep learning based detection of dermatological diseases using convolutional neural networks and decision trees

AO Mulani, G Birajadar, N Ivković, B Salah… - Traitement du …, 2023 - researchgate.net
The skin serves as a critical barrier that prevents germs from entering the human body. As
such, skin infections are prevalent and can manifest in various forms, making the detection …

The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment

M Khan, S Banerjee, S Muskawad, R Maity… - Current Allergy and …, 2024 - Springer
Abstract Purpose of Review Artificial intelligence (AI), be it neuronal networks, machine
learning or deep learning, has numerous beneficial effects on healthcare systems; however …