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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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Label-Independent Information Compression for Skin Diseases Recognition
Skin diseases have a widespread impact on people’s lives, making their identification crucial in medical data analysis. Convolutional neural networks...
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Pattern Recognition Based Skin Lesion Stage Analysis Using IoT
Skin diseases are considered the emerging cause of high mortality throughout the world. To reduce the rate of death, that arise due to skin is...
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Designing a new deep convolutional neural network for skin lesion recognition
In recent decades, many people have died because of cancer. Like many diseases, early detection of the disease can greatly help the healing process...
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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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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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Recognition of human skin diseases using inception-V3 with transfer learning
Skin disease is an irritable disease and may be the motive of deadly to human life. So, all of us ought to be aware of this alarming health problem....
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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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Relative likelihood based aggregated dual deep neural network for skin lesion recognition in dermoscopy images
This paper presents a novel approach classifying benign and malignant skin lesions based on dermoscopy images using a deep learning (DL) framework....
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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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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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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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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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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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A hybrid machine learning model for skin disease classification using discrete wavelet transform and gray level co-occurrence matrix (GLCM)
Skin conditions are widespread health issues in the world. The dangers of infections are hidden and may lead to mental depression and physical health...
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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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Skin Cancer Recognition for Low Resolution Images
Substantial body of work has been devoted to skin cancer recognition in high-resolution medical images. However, nowadays photos of skin lesions can...
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EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition
Skin lesion recognition using deep learning has made remarkable progress, and there is an increasing need for deploying these systems in real-world...
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Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
In practice, many medical datasets have an underlying taxonomy defined over the disease label space. However, existing classification algorithms for...
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Chronological Dingo Optimizer-based Deep Maxout Network for skin cancer detection and skin lesion segmentation using Double U-Net
Skin cancer is a dreadful disease, which is mainly caused due to the heavy exposure of the human body to the ultraviolet rays emitted from the sun....
