Emerging Trends in the Treatment of Skin Disorders by Herbal Drugs: Traditional and Nanotechnological Approach

R Agrawal, P Jurel, R Deshmukh, RK Harwansh… - Pharmaceutics, 2024 - mdpi.com
Since the earliest days, people have been employing herbal treatments extensively around
the world. The development of phytochemical and phytopharmacological sciences has …

Analysis, Prediction and Classification of Skin Cancer using Artificial Intelligence-A Brief Study and Review

ML Pandala, S Periyanayagi - Scalable Computing: Practice and …, 2023 - scpe.org
Abstract World Health Organization (WHO) records that skin cancer has vigorously affected
people in recent decades. Worldwide, many people are affected by skin cancer, and its …

Ensemble learning methods for deep learning: Application to skin lesions classification

A Aboulmira, H Hrimech… - 2022 11th International …, 2022 - ieeexplore.ieee.org
Despite all the contributions of deep learning (DL) which have contributed to improving
performance in the field of dermatology, the classification of skin diseases remains …

Analysis on Convolutional Neural Network Model using Skin Disease Dataset

MD Pavan, CB Ram, DC Vemulapalli… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
Skin conditions are most frequently seen in persons of all ages and are brought on by
bacteria, infections, or radiation. Some illnesses spread over time and have several harmful …

Skin disease diagnosis using vgg19 algorithm and treatment recommendation system

EG Rani, MA Hussain, M Azeezulla… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Skin infections are highly common today. A small circular or haphazardly shaped spot on the
patient's skin might be detected because of skin illness. When this condition develops into …

Neuroderm: Pioneering dermatological diagnostics with advanced neural networks

T Anjali, S Abhishek, S Remya - … Conference on I-SMAC (IoT in …, 2023 - ieeexplore.ieee.org
Accurate skin tumor identification and categorization are crucial for quick diagnosis and
treatment in dermatological care. In our research, we developed a reliable model that …

eDermaCare: Enhancing Skin Disease Classification with ResNet50

A Karambele, M Tamhane, P Jayanty… - … on Computing for …, 2024 - ieeexplore.ieee.org
In today's world, skin diseases are caused by various factors and affect a person's mental
and physical wellbeing. Particularly in private areas, there is considerable reluctance to …

Prediction of Alopecia Areata using Machine Learning Techniques

S Aditya, S Sidhu, M Kanchana - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Alopecia areata (AA) is a chronic, autoimmune condition that attacks anagen hair follicles,
causing sudden hair loss, resulting in circular bald patches. The disorder may be developed …

Aspect-based text classification for sentimental analysis using attention mechanism with RU-BiLSTM

S Yelisetti, N Geethanjali - Scalable Computing: Practice and Experience, 2023 - scpe.org
Sentiment analysis has gained increasing attention from an educational and social
perspective with the huge expansion of user interactions due to the Web's significant …

Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering

W Feng, L Ju, L Wang, K Song, Z Ge - International Conference on …, 2023 - Springer
Existing deep learning models have achieved promising performance in recognizing skin
diseases from dermoscopic images. However, these models can only recognize samples …