This research paper proposes a novel approach to detecting skin diseases using machine learning techniques. The proposed system utilizes image processing techniques to extract features from skin lesion images and then applies machine learning algorithms to classify the lesion into different categories. The proposed system can be evaluated using a large dataset of skin lesion images and the machine can learn itself based on the provided data and achieve high accuracy in detecting various skin diseases such as melanoma, eczema, and psoriasis. The proposed system has the potential to aid dermatologists in diagnosing skin diseases and improving patient outcomes. The algorithm that we propose to use is Convolutional Neural Network (CNN) as it is one of the most preferred algorithms for image classification.
Turjo, T. (2024). Enhancing Dermatological Diagnosis through Machine Learning: A Multi-Class Skin Disease Detection System with Convolutional Neural Network.. Afribary. Retrieved from https://afribary.com/works/enhancing-dermatological-diagnosis-through-machine-learning-a-multi-class-skin-disease-detection-system-with-convolutional-neural-network
Turjo, Taif Ahmed "Enhancing Dermatological Diagnosis through Machine Learning: A Multi-Class Skin Disease Detection System with Convolutional Neural Network." Afribary. Afribary, 02 Sep. 2024, https://afribary.com/works/enhancing-dermatological-diagnosis-through-machine-learning-a-multi-class-skin-disease-detection-system-with-convolutional-neural-network. Accessed 18 Dec. 2024.
Turjo, Taif Ahmed . "Enhancing Dermatological Diagnosis through Machine Learning: A Multi-Class Skin Disease Detection System with Convolutional Neural Network.". Afribary, Afribary, 02 Sep. 2024. Web. 18 Dec. 2024. < https://afribary.com/works/enhancing-dermatological-diagnosis-through-machine-learning-a-multi-class-skin-disease-detection-system-with-convolutional-neural-network >.
Turjo, Taif Ahmed . "Enhancing Dermatological Diagnosis through Machine Learning: A Multi-Class Skin Disease Detection System with Convolutional Neural Network." Afribary (2024). Accessed December 18, 2024. https://afribary.com/works/enhancing-dermatological-diagnosis-through-machine-learning-a-multi-class-skin-disease-detection-system-with-convolutional-neural-network