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OIPFST: AI-based Fitzpatrick skin tone labelling utilizing skin lesions
Dermatological conditions pose a substantial worldwide health risk, exerting a significant negative influence on the overall physical and mental...
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Skin-Net: a novel deep residual network for skin lesions classification using multilevel feature extraction and cross-channel correlation with detection of outlier
Human Skin cancer is commonly detected visually through clinical screening followed by a dermoscopic examination. However, automated skin lesion...
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Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions
Melanoma is the most severe type of skin cancer due to its ability to cause metastasis. It is more common in black people, often affecting acral...
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Augmenting Data with DCGANs to Improve Skin Lesions Classification
One of the main problems in computer vision applied to medical field is the limited amount of data. This represents a limitation in making an early...
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Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm
Skin lesion classification plays a crucial role in the early detection and diagnosis of various skin conditions. Recent advances in computer-aided...
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Automatic Detection of Melanoma in Human Skin Lesions
This work proposes a methodology for the automatic detection of melanoma skin cancer. Worldwide, this type of cancer has become a public health...
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An Evaluation of Image Preprocessing in Skin Lesions Detection
This study aims to evaluate the impact of image preprocessing techniques on the performance of Convolutional Neural Networks (CNNs) in the task of...
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Deep Learning in the Identification of Psoriatic Skin Lesions
Psoriasis is a dermatological lesion that manifests in several regions of the body. Its late diagnosis can generate the aggravation of the disease...
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Eczema Skin Lesions Segmentation Using Deep Neural Network (U-Net)
Atopic Eczema is a skin condition that causes dry, itchy, and inflamed skin. The treatment of eczema requires detection of the infected region and...
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Segmentation of skin lesions image based on U-Net + +
In the medical field, melanoma is one of the most dangerous skin cancers. However, the accuracy rate of doctors’ identification of melanoma is only...
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Detecting skin lesions fusing handcrafted features in image network ensembles
Skin cancer is the most prevalent genre of all cancers. Melanoma, being the deadliest of all skin cancers, calls for the requirement of an automated...
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Automated deep learning approach for classification of malignant melanoma and benign skin lesions
Skin cancer becomes a significant health problem worldwide with an increasing incidence over the past decades. Due to the fine-grained differences in...
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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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Modified Snapshot Ensemble Algorithm for Skin Lesion Classification
Skin cancer prediction has become an essential task in dermoscopic image analysis. For automatic diagnosis of the skin lesions, the Scientific...
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CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
While deep learning based approaches have demonstrated expert-level performance in dermatological diagnosis tasks, they have also been shown to...
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Deep Learning for Skin Lesion Segmentation: A Review and Outlook
Human skin acts as an important barrier that protects the proper functioning of the body's circulatory system. According to surveys in the last...
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Channel Attention Separable Convolution Network for Skin Lesion Segmentation
Skin cancer is a frequently occurring cancer in the human population, and it is very important to be able to diagnose malignant tumors in the body...
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Skin lesion image segmentation based on improved U-shaped network
Skin lesion segmentation is an important step to help us in skin cancer diagnosis. However, skin lesions have variable shapes, fuzzy boundaries, and...
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Advanced Skin Cancer Detection Using Deep Learning
Skin cancer is one of the most dangerous forms of cancer and can be lethal. In general an early diagnosis in the preliminary stages can significantly...
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Skin lesion classification from dermoscopy images using ensemble learning of ConvNeXt models
Automatic classification of dermoscopy images plays a crucial role in the early diagnosis and treatment of serious diseases like skin cancer....
