Nov 1, 2022 · Three computationally efficient machine learning techniques, Decision Tree (DT), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) classifiers are applied using …

Mar 26, 2023 · The most popular skin disease detection dataset, ISIC Archive, was created through the collaboration of 30 academic centers and companies worldwide with the aim of …

Srinivasu et al. presented a classification approach for skin disease detection using deep learning neural networks with MobileNet V2 and LSTM. The proposed approach involved …

Dec 15, 2023 · Skin diseases represent a significant global health concern, with early detection being crucial for effective treatment. This research paper proposes a novel approach for skin …

Jan 20, 2024 · Early detection of skin cancer can prevent death. Thus, Artificial intelligence (AI) and Machine Learning (ML) helps the physicians to improve clinical judgment or change …

In this paper, we propose a machine learning-based approach for skin disease detection that can accurately diagnose different types of skin diseases. The proposed skin disease detection …

This study demonstrates the potential of deep learning models, specifically CNNs, for accurate and efficient skin disease detection. The proposed model achieved promising results, …

Feb 13, 2021 · There are two sorts of data set trained and untrained data set which produces the accuracy by employing a supervised and unsupervised learning approach with different sort of …

Skin Disease Detection using Deep Learning which uses HAM10000 dataset for training of Machine Learning model prediction of Skin Cancer.

Deep learning models are efficient in learning the features that assist in understanding complex patterns precisely. This study proposed a computerized process of classifying skin disease …