AIMC Topic: Skin Neoplasms

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Artificial intelligence and skin melanoma.

Clinics in dermatology Jun 26, 2024
Melanoma is the deadliest skin cancer, presenting typically with changing pigmented areas and usually treated with surgical removal. As benign cutaneous pigmented lesions are very common in all populations, it can be challenging to identify which are...
Humans Artificial Intelligence Skin Neoplasms Melanoma Dermoscopy
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Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning.

Computers in biology and medicine Jun 25, 2024
Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it is imperative to promptly identify and diagnose such conditions at their earliest stages using dermoscopic imaging. Computer-aided diagnosis (CAD) methods r...
Diagnosis, Computer-Assisted Humans Deep Learning Neural Networks, Computer Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy
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Artificial intelligence for nonmelanoma skin cancer.

Clinics in dermatology Jun 24, 2024
Nonmelanoma skin cancers (NMSCs) are among the top five most common cancers globally. NMSC is an area with great potential for novel application of diagnostic tools including artificial intelligence (AI). In this scoping review, we aimed to describe ...
Algorithms Skin Neoplasms Mohs Surgery Humans Artificial Intelligence
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Integrative deep learning with prior assisted feature selection.

Statistics in medicine Jun 23, 2024
Integrative analysis has emerged as a prominent tool in biomedical research, offering a solution to the "small and large " challenge. Leveraging the powerful capabilities of deep learning in extracting complex relationship between genes and disease...
Deep Learning Humans Algorithms Computer Simulation Melanoma Skin Neoplasms
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Artificial intelligence in dermatopathology: Updates, strengths, and challenges.

Clinics in dermatology Jun 21, 2024
Artificial intelligence (AI) has evolved to become a significant force in various domains, including medicine. We explore the role of AI in pathology, with a specific focus on dermatopathology and neoplastic dermatopathology. AI, encompassing machine...
Skin Neoplasms Reproducibility of Results Skin Diseases Dermatology Deep Learning Artificial Intelligence Melanoma Humans
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Bluish veil detection and lesion classification using custom deep learnable layers with explainable artificial intelligence (XAI).

Computers in biology and medicine Jun 20, 2024
Melanoma, one of the deadliest types of skin cancer, accounts for thousands of fatalities globally. The bluish, blue-whitish, or blue-white veil (BWV) is a critical feature for diagnosing melanoma, yet research into detecting BWV in dermatological im...
Artificial Intelligence Algorithms Databases, Factual Humans Neural Networks, Computer Dermoscopy Deep Learning Skin Melanoma Skin Neoplasms Image Interpretation, Computer-Assisted
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Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach.

Aging Jun 20, 2024
Melanoma is a highly malignant skin tumor with poor prognosis. Circadian rhythm is closely related to melanoma pathogenesis. This study aimed to identify key circadian rhythm genes (CRGs) in melanoma and explore their potential as diagnostic and prog...
Computational Biology Melanoma Prognosis Nomograms Gene Expression Regulation, Neoplastic Skin Neoplasms Humans Male Biomarkers, Tumor Female Circadian Rhythm Gene Expression Profiling Machine Learning Middle Aged Gene Regulatory Networks
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Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects.

Computers in biology and medicine Jun 14, 2024
In recent years, there has been a significant improvement in the accuracy of the classification of pigmented skin lesions using artificial intelligence algorithms. Intelligent analysis and classification systems are significantly superior to visual d...
Machine Learning Neural Networks, Computer Diagnosis, Computer-Assisted Skin Neoplasms Humans Artificial Intelligence Algorithms
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Enhancing Skin Cancer Diagnosis Using Swin Transformer with Hybrid Shifted Window-Based Multi-head Self-attention and SwiGLU-Based MLP.

Journal of imaging informatics in medicine Jun 5, 2024
Skin cancer is one of the most frequently occurring cancers worldwide, and early detection is crucial for effective treatment. Dermatologists often face challenges such as heavy data demands, potential human errors, and strict time limits, which can ...
Deep Learning Neural Networks, Computer Skin Neoplasms Humans
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Optimized attention-induced multihead convolutional neural network with efficientnetv2-fostered melanoma classification using dermoscopic images.

Medical & biological engineering & computing Jun 4, 2024
Melanoma is an uncommon and dangerous type of skin cancer. Dermoscopic imaging aids skilled dermatologists in detection, yet the nuances between melanoma and non-melanoma conditions complicate diagnosis. Early identification of melanoma is vital for ...
Humans Neural Networks, Computer Skin Neoplasms Dermoscopy Image Processing, Computer-Assisted Algorithms Melanoma
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