A survey on computer vision approaches for automated classification of skin diseases

P Gupta, J Nirmal, N Mehendale - Multimedia Tools and Applications, 2024 - Springer
Skin diseases are a significant concern for public health, demanding accurate diagnosis for
effective treatment. However, traditional diagnostic methods often suffer from subjectivity …

Evidence-based management of cutaneous scarring in dermatology part 2: Atrophic acne scarring

EY Kim, JH Wong, A Hussain… - Archives of Dermatological …, 2023 - Springer
Atrophic acne scars are the most common type of acne scars and are classified into three
main types: icepick, boxcar, and rolling scars. Various procedures and techniques for …

[HTML][HTML] A hybrid Grasshopper optimization algorithm for skin lesion segmentation and melanoma classification using deep learning

P Thapar, M Rakhra, M Alsaadi, A Quraishi, A Deka… - Healthcare …, 2024 - Elsevier
Skin cancer can be detected through visual examination and confirmed through
dermoscopic analysis and various diagnostic tests. This is because visual observation …

High performing facial skin problem diagnosis with enhanced mask r-cnn and super resolution gan

M Kim, MH Song - Applied Sciences, 2023 - mdpi.com
Facial skin condition is perceived as a vital indicator of the person's apparent age, perceived
beauty, and degree of health. Machine-learning-based software analytics on facial skin …

A novel automatic acne detection and severity quantification scheme using deep learning

J Wang, C Wang, Z Wang, AH Hounye, Z Li… - … Signal Processing and …, 2023 - Elsevier
Accurate detection and severity quantification of acne are of great significance in the precise
treatment of patients. Due to the similar appearance of acne with close severity, it is …

Perbandingan Kemampuan Klasifikasi Citra X-ray Paru-paru menggunakan Transfer Learning ResNet-50 dan VGG-16

T Berliani, E Rahardja… - Journal of Medicine and …, 2023 - journal.maranatha.edu
Di masa pandemi Covid-19, foto rontgen menjadi umum digunakan untuk memeriksa
pasien diduga Covid-19. Pada citra x-ray paru-paru yang terkena Covid-19 ditemukan …

Few-Shot Classification with Multiscale Feature Fusion for Clinical Skin Disease Diagnosis

T Chen, Q Liu, J Yang - Clinical, cosmetic and investigational …, 2024 - Taylor & Francis
Introduction Skin disease is one of the most common diseases and can affect people of all
ages and races. However, the diagnosis of skin diseases via observation is a highly …

Severity level prediction of acne using hybrid MOA-FCM segmentation algorithm with ANN classifier

P Pandit, M Chavan - Progress in Artificial Intelligence, 2024 - Springer
A person needs self-confidence in order to act normal as well as desired manner. Physical
state of an individual, which sorts feelings of inadequacy and melancholy, which is one of …

SS-ALDL: Consistency-based semi-supervised label distribution learning for acne severity classification

W Liu, L Zhang, J Zhang, J Li, J Wang, X Jiang - Applied Soft Computing, 2024 - Elsevier
Acne vulgaris is a common skin disease among adolescents. Accurate classification of acne
severity is critical to patient treatment. Most existing acne severity classification models …

Comprehensive facial acne classification: CNN-SVM synergy

TA Mir, D Banerjee, D Upadhyay… - 2024 2nd World …, 2024 - ieeexplore.ieee.org
A new framework for automatically detecting and diagnosing facial acne is presented in this
paper. The approach makes use of convolutional neural networks (CNNs) and support …