AIMC Topic: Skin Neoplasms

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Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis.

Artificial intelligence in medicine Jul 25, 2024
BACKGROUND: Melanoma is a serious risk to human health and early identification is vital for treatment success. Deep learning (DL) has the potential to detect cancer using imaging technologies and many studies provide evidence that DL algorithms can ...
Deep Learning Skin Humans Skin Neoplasms Dermoscopy Melanoma
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Performance of a Machine Learning Algorithm on Lesions with a High Preoperative Suspicion of Invasive Melanoma.

Acta dermato-venereologica Jul 18, 2024
Humans Machine Learning Female Melanoma Skin Neoplasms Algorithms Retrospective Studies Predictive Value of Tests Middle Aged Aged Neoplasm Invasiveness Male
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Asymmetric lesion detection with geometric patterns and CNN-SVM classification.

Computers in biology and medicine Jul 15, 2024
In dermoscopic images, which allow visualization of surface skin structures not visible to the naked eye, lesion shape offers vital insights into skin diseases. In clinically practiced methods, asymmetric lesion shape is one of the criteria for diagn...
Support Vector Machine Skin Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy Humans Algorithms Melanoma Neural Networks, Computer
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Artificial Intelligence for Mohs and Dermatologic Surgery: A Systematic Review and Meta-Analysis.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] Jul 11, 2024
BACKGROUND: Over the past decade, several studies have shown that potential of artificial intelligence (AI) in dermatology. However, there has yet to be a systematic review evaluating the usage of AI specifically within the field of Mohs micrographic...
Skin Neoplasms Humans Artificial Intelligence Margins of Excision Mohs Surgery
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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...
Dermoscopy Melanoma Humans Skin Neoplasms Artificial Intelligence
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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...
Neural Networks, Computer Deep Learning Dermoscopy Humans Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Skin Neoplasms
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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 ...
Humans Mohs Surgery Algorithms Skin Neoplasms 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 Melanoma Skin Neoplasms Algorithms Computer Simulation Humans
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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...
Humans Melanoma Skin Neoplasms Artificial Intelligence Reproducibility of Results Dermatology Skin Diseases Deep Learning
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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...
Image Interpretation, Computer-Assisted Deep Learning Neural Networks, Computer Skin Artificial Intelligence Skin Neoplasms Databases, Factual Humans Dermoscopy Algorithms Melanoma
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