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Jan 1, 2019 · Computer vision has a role in the detection of skin diseases in a variety of techniques. Due to deserts and hot weather, skin diseases are common in Saudi Arabia. This work contributes in the research of skin disease detection. We proposed an image processing-based method to detect skin diseases.
Nov 1, 2022 · Balaji et al. [23] proposed a skin disease detection and segmentation model based on the dynamic graph cut algorithm to segment the lesion of the images and the Naïve Bayes classifier for classifying the types of diseases. The model outperformed some state-of-the-art approaches, including FCN by 6.5% and SegNet by 8.7% for classifying the ...
Mar 5, 2021 · We classify each cluster into different common skin diseases using another neural network model.
Apr 18, 2021 · 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 through deep learning based MobileNet V2 and Long Short Term Memory (LSTM).
Oct 7, 2023 · Skin lesion datasets are a useful tool for the development of algorithms to identify and categorize various forms of skin lesions in the fields of dermatology and computer vision. Various skin disorders, including benign and malignant lesions, are represented by a collection of images and labels.
May 18, 2020 · The DLS distinguishes between 26 common skin conditions, representing 80% of cases seen in primary care, while also providing a secondary prediction covering 419 skin conditions.
Feb 26, 2024 · Computer-aided systems are very helpful in skin disease detection and classification and their application is growing rapidly in healthcare. This literature review paper aims to help the researchers to get a synthesized and appropriate information for the same.
Sep 23, 2023 · Skin Disease Classification and Detection by Deep Learning and Machine Learning Approaches. Conference paper. First Online: 23 September 2023. pp 147–162. Cite this conference paper. Download book PDF. Download book EPUB. Advances in IoT and Security with Computational Intelligence (ICAISA 2023) Summi Goindi, Khushal Thakur & Divneet Singh Kapoor.
Jan 1, 2023 · Skin disease detection using deep learning. Author links open overlay panel. Syed Inthiyaz a. , Baraa Riyadh Altahan b. , Sk Hasane Ahammad a. , V Rajesh a. , Ruth Ramya Kalangi a. , Lassaad K. Smirani c. , Md. Amzad Hossain d e. , Ahmed Nabih Zaki Rashed f. Show more. Add to Mendeley.
Aug 26, 2018 · In this paper, three type skin diseases such as herpes, dermatitis, and psoriasis skin disease could be identified by a new recognition method. Initially, skin images were preprocessed to remove noise and irrelevant background by filtering and transformation.
