AIMC Topic: Melanoma

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Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.

IEEE transactions on bio-medical engineering Aug 20, 2018
In this paper, we present a novel framework for dermoscopy image recognition via both a deep learning method and a local descriptor encoding strategy. Specifically, deep representations of a rescaled dermoscopy image are first extracted via a very de...
Dermoscopy Deep Learning Support Vector Machine Image Interpretation, Computer-Assisted Databases, Factual Melanoma Skin Neoplasms Humans Algorithms
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Skin lesion classification with ensembles of deep convolutional neural networks.

Journal of biomedical informatics Aug 10, 2018
Skin cancer is a major public health problem with over 123,000 newly diagnosed cases worldwide in every year. Melanoma is the deadliest form of skin cancer, responsible for over 9000 deaths in the United States each year. Thus, reliable automatic mel...
Algorithms Databases, Factual Melanoma Skin Neoplasms Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Melanocytes Dermoscopy Nevus Diagnosis, Computer-Assisted Keratosis, Seborrheic ROC Curve
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An Intelligent System for Monitoring Skin Diseases.

Sensors (Basel, Switzerland) Aug 4, 2018
The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms for smart operations. The implementations concentrate on technologies which avoid unnecessary...
Humans Artificial Intelligence Skin Diseases Melanoma Reproducibility of Results
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Deep Tissue Sequencing Using Hypodermoscopy and Augmented Intelligence to Analyze Atypical Pigmented Lesions.

Journal of cutaneous medicine and surgery Aug 1, 2018
BACKGROUND: Over the past decade, new technologies, devices, and methods have been developed to assist in the diagnosis of cutaneous melanocytic lesions.
Melanoma Dermoscopy Young Adult Adult Artificial Intelligence Humans Child Algorithms Sensitivity and Specificity Image Interpretation, Computer-Assisted Female Male Melanocytes Adolescent Nevus, Pigmented
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Machine learning model in melanoma.

The Lancet. Oncology Jun 7, 2018
Male Diagnosis, Computer-Assisted Clinical Competence Dermatologists Germany Melanoma Humans Skin Neoplasms Sensitivity and Specificity Machine Learning Retrospective Studies Female
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Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features.

IEEE journal of biomedical and health informatics May 1, 2018
The presence of certain clinical dermoscopic features within a skin lesion may indicate melanoma, and automatically detecting these features may lead to more quantitative and reproducible diagnoses. We reformulate the task of classifying clinical der...
Melanoma Skin Neoplasms Dermoscopy Image Interpretation, Computer-Assisted ROC Curve Humans Skin Neural Networks, Computer Databases, Factual
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Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning.

IEEE/ACM transactions on computational biology and bioinformatics Apr 26, 2018
Control of gene regulatory networks (GRNs) to shift gene expression from undesirable states to desirable ones has received much attention in recent years. Most of the existing methods assume that the cost of intervention at each state and time point,...
Skin Neoplasms Wnt-5a Protein Gene Expression Profiling Gene Regulatory Networks Models, Biological Software Models, Genetic Tumor Suppressor Protein p53 Algorithms Computational Biology Bayes Theorem Proto-Oncogene Proteins c-mdm2 Melanoma Gene Expression Regulation, Neoplastic Humans Machine Learning
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Acral melanoma detection using a convolutional neural network for dermoscopy images.

PloS one Mar 7, 2018
BACKGROUND/PURPOSE: Acral melanoma is the most common type of melanoma in Asians, and usually results in a poor prognosis due to late diagnosis. We applied a convolutional neural network to dermoscopy images of acral melanoma and benign nevi on the h...
Early Detection of Cancer Skin Hand Image Interpretation, Computer-Assisted Skin Neoplasms Humans Foot Dermoscopy Neural Networks, Computer Sensitivity and Specificity Melanoma
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Machine learning-based diagnosis of melanoma using macro images.

International journal for numerical methods in biomedical engineering Feb 20, 2018
Cancer bears a poisoning threat to human society. Melanoma, the skin cancer, originates from skin layers and penetrates deep into subcutaneous layers. There exists an extensive research in melanoma diagnosis using dermatoscopic images captured throug...
Image Interpretation, Computer-Assisted Algorithms Humans Support Vector Machine Melanoma Machine Learning Bayes Theorem
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DermaKNet: Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for Skin Lesion Diagnosis.

IEEE journal of biomedical and health informatics Feb 16, 2018
Traditional approaches to automatic diagnosis of skin lesions consisted of classifiers working on sets of hand-crafted features, some of which modeled lesion aspects of special importance for dermatologists. Recently, the broad adoption of convolutio...
Skin Neoplasms Dermoscopy Skin Algorithms Databases, Factual Melanoma Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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