AIMC Topic: Skin Neoplasms

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New Auxiliary Function with Properties in Nonsmooth Global Optimization for Melanoma Skin Cancer Segmentation.

BioMed research international Apr 13, 2020
In this paper, an algorithm is introduced to solve the global optimization problem for melanoma skin cancer segmentation. The algorithm is based on the smoothing of an auxiliary function that is constructed using a known local minimizer and smoothed ...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Melanoma, Cutaneous Malignant Algorithms Melanoma Skin Neoplasms Diagnosis, Computer-Assisted
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A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Apr 1, 2020
Immunohistochemistry (IHC) is a diagnostic technique used throughout pathology. A machine learning algorithm that could predict individual cell immunophenotype based on hematoxylin and eosin (H&E) staining would save money, time, and reduce tissue co...
Staining and Labeling Immunohistochemistry Melanocytes SOXE Transcription Factors Algorithms Databases, Factual Melanoma Skin Neoplasms Humans Neural Networks, Computer Machine Learning
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Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

The Journal of investigative dermatology Mar 31, 2020
Although deep learning algorithms have demonstrated expert-level performance, previous efforts were mostly binary classifications of limited disorders. We trained an algorithm with 220,680 images of 174 disorders and validated it using Edinburgh (1,3...
Young Adult Adult Male Middle Aged Skin Neoplasms Dermoscopy Aged Adolescent ROC Curve Antiviral Agents Antifungal Agents Glucocorticoids Deep Learning Clinical Competence Humans Anti-Bacterial Agents Photography Female Internship and Residency Drug Therapy, Computer-Assisted Skin Diseases Dermatology Image Interpretation, Computer-Assisted Datasets as Topic Skin Feasibility Studies Dermatologists
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[The future of AI in dermatology and of dermatology with AI].

Annales de dermatologie et de venereologie Mar 30, 2020
Humans Robotics Artificial Intelligence Skin Diseases Machine Learning Forecasting Dermatology Physician's Role Research Skin Neoplasms Deep Learning
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Skin Lesion Segmentation from Dermoscopic Images Using Convolutional Neural Network.

Sensors (Basel, Switzerland) Mar 13, 2020
Clinical treatment of skin lesion is primarily dependent on timely detection and delimitation of lesion boundaries for accurate cancerous region localization. Prevalence of skin cancer is on the higher side, especially that of melanoma, which is aggr...
Skin Neoplasms Skin Diseases Artifacts Humans Dermoscopy Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Skin
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DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images.

BMC bioinformatics Mar 11, 2020
BACKGROUND: Melanoma results in the vast majority of skin cancer deaths during the last decades, even though this disease accounts for only one percent of all skin cancers' instances. The survival rates of melanoma from early to terminal stages is mo...
Dermoscopy Deep Learning ROC Curve Humans Area Under Curve Databases, Factual Melanoma Skin Neoplasms
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Artificial neural networks allow response prediction in squamous cell carcinoma of the scalp treated with radiotherapy.

Journal of the European Academy of Dermatology and Venereology : JEADV Mar 4, 2020
BACKGROUND: Epithelial neoplasms of the scalp account for approximately 2% of all skin cancers and for about 10-20% of the tumours affecting the head and neck area. Radiotherapy is suggested for localized cutaneous squamous cell carcinomas (cSCC) wit...
Female Skin Neoplasms Carcinoma, Squamous Cell Aged Aged, 80 and over Neural Networks, Computer Treatment Outcome Male Neoplasm Staging Forecasting Humans Head and Neck Neoplasms Neoplasm Recurrence, Local Phenotype Middle Aged Age Factors Radiotherapy Dosage Retrospective Studies Scalp
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Towards Interpretable Skin Lesion Classification with Deep Learning Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Skin disease is a prevalent condition all over the world. Computer vision-based technology for automatic skin lesion classification holds great promise as an effective screening tool for early diagnosis. In this paper, we propose an accurate and inte...
Keratosis Humans Deep Learning Neural Networks, Computer Models, Biological Skin Neoplasms Skin Diseases Nevus
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An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis.

IEEE journal of biomedical and health informatics Feb 13, 2020
Automatic skin lesion analysis of dermoscopy images remains a challenging topic. In this paper, we propose an end-to-end multi-task deep learning framework for automatic skin lesion analysis. The proposed framework can perform skin lesion detection, ...
Humans Skin Neoplasms Algorithms Dermoscopy Databases, Factual Deep Learning Melanoma Image Interpretation, Computer-Assisted
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Reply to the letter to the editor: 'Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images'.

European journal of cancer (Oxford, England : 1990) Jan 30, 2020
Melanoma Skin Neoplasms Deep Learning Pathologists Humans
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