AIMC Topic: Skin Neoplasms

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Skin Cancer Detection in Diverse Skin Tones by Machine Learning Combining Audio and Visual Convolutional Neural Networks.

Oncology Sep 23, 2024
INTRODUCTION: Skin cancer (SC) is common in fair skin (FS) at a 1:5 lifetime incidence for nonmelanoma skin cancer. In order to assist clinicians' decisions, a risk intervention technology was developed, which combines a dual-mode machine learning of...
Female Skin Neoplasms Aged Adult Sensitivity and Specificity Male Middle Aged Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Humans Skin Pigmentation Convolutional Neural Networks ROC Curve Smartphone
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Retrosynthetic analysis via deep learning to improve pilomatricoma diagnoses.

Computers in biology and medicine Sep 19, 2024
BACKGROUND: Pilomatricoma, a benign childhood skin tumor, presents diagnostic challenges due to its manifestation variations and requires surgical excision upon histological confirmation of its characteristic cellular features. Recent artificial inte...
Male Deep Learning Child Image Interpretation, Computer-Assisted Humans Pilomatrixoma Female Skin Neoplasms
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Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma.

Frontiers in immunology Sep 17, 2024
BACKGROUND: Immunotherapy has revolutionized skin cutaneous melanoma treatment, but response variability due to tumor heterogeneity necessitates robust biomarkers for predicting immunotherapy response.
Animals Treatment Outcome Gene Expression Profiling Melanoma Humans Transcriptome Gene Regulatory Networks Machine Learning Skin Neoplasms Mice Prognosis Tumor Microenvironment Immunotherapy Biomarkers, Tumor Gene Expression Regulation, Neoplastic
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Vital Characteristics Cellular Neural Network (VCeNN) for Melanoma Lesion Segmentation: A Biologically Inspired Deep Learning Approach.

Journal of imaging informatics in medicine Sep 16, 2024
Cutaneous melanoma is a highly lethal form of cancer. Developing a medical image segmentation model capable of accurately delineating melanoma lesions with high robustness and generalization presents a formidable challenge. This study draws inspirati...
Image Processing, Computer-Assisted Melanoma Skin Neoplasms Deep Learning Humans Neural Networks, Computer
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Analysis of international publication trends in artificial intelligence in skin cancer.

Clinics in dermatology Sep 10, 2024
Bibliometric methods were used to analyze publications on the use of artificial intelligence (AI) in skin cancer from 2010 to 2022, aiming to explore current publication trends and future directions. A comprehensive search using four terms, "artifici...
Skin Neoplasms Deep Learning Bibliometrics Periodicals as Topic Humans Publications Artificial Intelligence Melanoma
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The utility and reliability of a deep learning algorithm as a diagnosis support tool in head & neck non-melanoma skin malignancies.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Sep 6, 2024
OBJECTIVE: The incidence of non-melanoma skin cancers, encompassing basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC), is on the rise globally and new methods to improve skin malignancy diagnosis are necessary. This study aims t...
Humans Algorithms Aged, 80 and over Deep Learning Head and Neck Neoplasms Longitudinal Studies Keratosis, Actinic Keratosis, Seborrheic Cheilitis Prospective Studies Female Skin Neoplasms Carcinoma, Basal Cell Carcinoma, Squamous Cell Reproducibility of Results Aged Male Middle Aged
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Leveraging AI and patient metadata to develop a novel risk score for skin cancer detection.

Scientific reports Sep 6, 2024
Melanoma of the skin is the 17th most common cancer worldwide. Early detection of suspicious skin lesions (melanoma) can increase 5-year survival rates by 20%. The 7-point checklist (7PCL) has been extensively used to suggest urgent referrals for pat...
Skin Neoplasms Risk Factors Aged Adult Machine Learning Female Melanoma Early Detection of Cancer Metadata Male Middle Aged Risk Assessment Humans Artificial Intelligence
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Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets.

Scientific reports Sep 4, 2024
Skin cancer (SC) is an important medical condition that necessitates prompt identification to ensure timely treatment. Although visual evaluation by dermatologists is considered the most reliable method, its efficacy is subjective and laborious. Deep...
Neural Networks, Computer Algorithms Skin Neoplasms Diagnosis, Computer-Assisted Humans Deep Learning Image Processing, Computer-Assisted
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Letter to the Editor 'A real-time augmented reality robot integrated with artificial intelligence for skin tumor surgery - experimental study and case series'.

International journal of surgery (London, England) Sep 1, 2024
Skin Neoplasms Robotics Robotic Surgical Procedures Augmented Reality Humans Artificial Intelligence
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Weakly supervised deep learning image analysis can differentiate melanoma from naevi on haematoxylin and eosin-stained histopathology slides.

Journal of the European Academy of Dermatology and Venereology : JEADV Aug 31, 2024
BACKGROUND: The broad histomorphological spectrum of melanocytic pathologies requires large data sets to develop accurate and generalisable deep learning (DL)-based diagnostic pathology classifiers. Weakly supervised DL promotes utilisation of larger...
Eosine Yellowish-(YS) Hematoxylin Melanoma Skin Neoplasms Aged Aged, 80 and over Humans Deep Learning Female Adult Staining and Labeling Male Diagnosis, Differential Middle Aged Nevus
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