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Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System
Skin diseases are generally normal around the globe, as people get skin diseases because of inheritance and natural elements. Dermatologists rely...
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Multi-feature Fusion Deep Network for Skin Disease Diagnosis
The skin acts as an important barrier between the body and the external environment, playing a vital role as an organ. The application of deep...
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Deep Residual Networks for Pigmented Skin Lesions Diagnosis
The skin is a barrier, protecting the body from external factors such as bacteria, viruses, and harmful environmental agents. Healthy skin is a...
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AZ-skin: Inclusive system for skin disease recognition from hybrid data
With the aim to alleviate the lack of accessibility to dermatologists, hundreds of skin care applications potentially assist patients in making...
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Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis
Federated learning (FL) has emerged as a promising technique in the field of medical diagnosis. By distributing the same task through deep networks...
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Automated Detection of Melanoma Skin Disease Using Classification Algorithm
The advancement of modern technology has enabled the diagnosis of various skin diseases through image processing. Researchers face significant...
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Skin Disease Detection Using Saliency Maps and Segmentation Techniques
Skin diseases are the most common disease on the planet. When detecting skin diseases, dermatologists must have a high degree of expertise and...
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A systematic literature survey on skin disease detection and classification using machine learning and deep learning
The world population is growing very fast and the lifestyle of human beings is changing with time and place. So, there is a need for disease...
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Deep Learning-Based Skin Disease Detection Using Convolutional Neural Networks (CNN)
Skin disease is a common health condition of the human body that greatly affects people’s life. Early and accurate disease diagnosis can help the...
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Convolutional neural network (CNN) and federated learning-based privacy preserving approach for skin disease classification
This research displays inspect a study on the classification of human skin diseases using medical imaging, with a focus on data privacy preservation....
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Enhanced U-Net segmentation with ensemble convolutional neural network for automated skin disease classification
In recent years, skin-related problems induce psychological problems and also injure physical health, particularly if the patient’s face was...
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CSDM-DEEP-CNN Based Skin Multi-function Disease Detection with Minimum Execution Time
Skin cancer is a prevalent and potentially fatal disease. Early detection is important for successful treatment. Traditional methods face challenges...
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Diagnosis of skin cancer using VGG16 and VGG19 based transfer learning models
Today, skin cancer is considered one of the most dangerous and common cancers in the world, demanding special attention. Skin cancer can be developed...
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Classification of skin disease using a novel hybrid flash butterfly optimization from dermoscopic images
The failure of skin disease detection at an early stage leads to causes of well-known cancer known as melanoma, and it is created due to an...
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A Novel Multi-task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images
Skin diseases are among the most prevalent health issues, and accurate computer-aided diagnosis methods are of importance for both dermatologists and...
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Analysis of Proteins in Microscopic Skin Images Using Machine Vision Techniques as a Tool for Detecting Alzheimer’s Disease
Alzheimer’s disease (AD) is a disease characterized by progressive loss of memory, orientation, judgement and language. Its progression is slow and...
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A novel CNN framework for skin disease classification using adaptive percentage filter for image binarization and fast-marching inpainting method
Artificial intelligence assists medical practitioners with disease diagnosis from acute to chronic illnesses and has brought significant breakthrough...
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A multimodal transformer to fuse images and metadata for skin disease classification
Skin disease cases are rising in prevalence, and the diagnosis of skin diseases is always a challenging task in the clinic. Utilizing deep learning...
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A Comprehensive Review on Skin Disease Classification Using Convolutional Neural Network and Support Vector Machine
Skin illness is one of the most common medical problems that can affect people of all ages, from infants to the elderly. As the diagnosis of skin...
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A survey on computer vision approaches for automated classification of skin diseases
Skin diseases are a significant concern for public health, demanding accurate diagnosis for effective treatment. However, traditional diagnostic...
