Automated Identification of Cutaneous Leishmaniasis Lesions Using Deep-Learning-Based Artificial Intelligence
The polymorphism of cutaneous leishmaniasis (CL) complicates diagnosis in health care services because lesions may be confused with other dermatoses such as sporotrichosis, paracocidiocomycosis, and venous insufficiency. Automated identification of skin diseases based on deep learning (DL) has been...
Main Authors: | José Fabrício de Carvalho Leal, Daniel Holanda Barroso, Natália Santos Trindade, Vinícius Lima de Miranda, Rodrigo Gurgel-Gonçalves |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Biomedicines |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9059/12/1/12 |
Similar Items
-
AN AUTOMATED SKIN DISEASE DIAGNOSTIC SYSTEM BASED ON DEEP LEARNING MODEL
by: LAWRENCE OMOTOSHO, et al.
Published: (2022-01-01) -
Perbandingan Arsitektur LeNet dan AlexNet Pada Metode Convolutional Neural Network Untuk Pengenalan American Sign Language
by: Muhammad Ezar Al Rivan, et al.
Published: (2021-06-01) -
AlexCapsNet: An Integrated Architecture for Image Classification With Background Noise
by: Muyi Bao, et al.
Published: (2025-01-01) -
Research on Damage Detection Methods for Concrete Beams Based on Ground Penetrating Radar and Convolutional Neural Networks
by: Ning Liu, et al.
Published: (2025-02-01) -
Indoor Place Recognition and Localization Using Histogram of Oriented Gradient with Deep Learning
by: Zina Khaleel Jalal, et al.
Published: (2020-02-01)