Application of deep learning algorithm in the recognition of cryptococcosis and talaromycosis skin lesions

W Wei, X He, X Bao, G Wang, Q Luo, L Chen… - Mycoses, 2023 - Wiley Online Library
Background Cryptococcosis and talaromycosis are known as 'neglected epidemics' due to
their high case fatality rates and low concern. Clinically, the skin lesions of the two fungal …

Deep learning for three types of keratitis classification based on confocal microscopy images

X Zhang, G Ding, C Gao, C Li, B Hu, C Zhang… - Proceedings of the …, 2020 - dl.acm.org
Accurate diagnosis of keratitis is important for the follow up treatment. The confocal
microscope can scan different depth and layer of the cornea, therefore is an important tool …

[PDF][PDF] Innovative Fungal Disease Diagnosis System Using Convolutional Neural Network.

T Alyas, K Alissa, AS Mohammad, S Asif… - … Materials & Continua, 2022 - cdn.techscience.cn
Fungal disease affects more than a billion people worldwide, resulting in different types of
fungus diseases facing life-threatening infections. The outer layer of your body is called the …

Efficient diagnosis of psoriasis and lichen planus cutaneous diseases using deep learning approach

A Eskandari, M Sharbatdar - Scientific Reports, 2024 - nature.com
The tendency of skin diseases to manifest in a unique and yet similar appearance, absence
of enough competent dermatologists, and urgency of diagnosis and classification on time …

An actinic keratosis auxiliary diagnosis method based on an enhanced MobileNet model

S Li, C Li, Q Liu, Y Pei, L Wang, Z Shen - Bioengineering, 2023 - mdpi.com
Actinic keratosis (AK) is a common precancerous skin lesion with significant harm, and it is
often confused with non-actinic keratoses (NAK). At present, the diagnosis of AK mainly …

Fungal skin disease classification using the convolutional neural network

TD Nigat, TM Sitote, BM Gedefaw - Journal of Healthcare …, 2023 - Wiley Online Library
Skin is the outer cover of our body, which protects vital organs from harm. This important
body part is often affected by a series of infections caused by fungus, bacteria, viruses …

An Alternative Diagnostic Method for C. neoformans: Preliminary Results of Deep-Learning Based Detection Model

A Seyer Cagatan, M Taiwo Mustapha, C Bagkur… - Diagnostics, 2022 - mdpi.com
Cryptococcus neoformans is an opportunistic fungal pathogen with significant medical
importance, especially in immunosuppressed patients. It is the causative agent of …

Deep convolutional neural networks for onychomycosis detection using microscopic images with KOH examination

A Yilmaz, F Göktay, R Varol, G Gencoglan, H Uvet - Mycoses, 2022 - Wiley Online Library
Background The diagnosis of superficial fungal infections is still mostly based on direct
microscopic examination with potassium hydroxide solution. However, this method can be …

[PDF][PDF] Monkeypox Skin Lesion Detection with Deep Learning Models and Development of Its Mobile Application

YS Taspinar, I Cinar, R Kursun, M Koklu - Public health - researchgate.net
The COVID-19 pandemic, which left its mark on the 21st century, has spread to large areas
all over the world. While COVID-19 has not ended yet, the monkeypox virus began to spread …

Deep Learning‐Based Skin Diseases Classification using Smartphones

I Oztel, G Yolcu Oztel, VH Sahin - Advanced Intelligent Systems, 2023 - Wiley Online Library
Skin disease recognition is one of the essential topics in the medical industry. Detecting skin
disease from appearance can be difficult due to the similar appearance of skin lesions. In …