AIMC Topic: Dermoscopy

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Diagnostic accuracy of content-based dermatoscopic image retrieval with deep classification features.

The British journal of dermatology Oct 17, 2018
BACKGROUND: Automated classification of medical images through neural networks can reach high accuracy rates but lacks interpretability.
Humans Retrospective Studies Image Processing, Computer-Assisted Skin Skin Diseases Datasets as Topic Dermoscopy Deep Learning ROC Curve
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Multimodal skin lesion classification using deep learning.

Experimental dermatology Sep 27, 2018
While convolutional neural networks (CNNs) have successfully been applied for skin lesion classification, previous studies have generally considered only a single clinical/macroscopic image and output a binary decision. In this work, we have presente...
Humans Dermoscopy Metadata Photography Deep Learning Multimodal Imaging Skin Diseases
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Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis.

The British journal of dermatology Sep 19, 2018
BACKGROUND: Application of deep-learning technology to skin cancer classification can potentially improve the sensitivity and specificity of skin cancer screening, but the number of training images required for such a system is thought to be extremel...
Datasets as Topic Skin Dermatologists Skin Neoplasms Image Interpretation, Computer-Assisted Dermoscopy Humans Sensitivity and Specificity Deep Learning Smartphone Mobile Applications
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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...
Humans Algorithms Image Interpretation, Computer-Assisted Dermoscopy Deep Learning Databases, Factual Support Vector Machine Melanoma Skin Neoplasms
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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...
Keratosis, Seborrheic Melanocytes ROC Curve Image Processing, Computer-Assisted Nevus Skin Neoplasms Dermoscopy Diagnosis, Computer-Assisted Humans Neural Networks, Computer Databases, Factual Melanoma Machine Learning Algorithms
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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.
Adult Sensitivity and Specificity Male Melanoma Dermoscopy Young Adult Melanocytes Nevus, Pigmented Adolescent Child Image Interpretation, Computer-Assisted Humans Artificial Intelligence Algorithms Female
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Dense Deconvolutional Network for Skin Lesion Segmentation.

IEEE journal of biomedical and health informatics Jul 25, 2018
Automatic delineation of skin lesion contours from dermoscopy images is a basic step in the process of diagnosis and treatment of skin lesions. However, it is a challenging task due to the high variation of appearances and sizes of skin lesions. In o...
Algorithms Skin Neoplasms Dermoscopy Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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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...
Image Interpretation, Computer-Assisted Dermoscopy ROC Curve Skin Neural Networks, Computer Melanoma Humans Skin Neoplasms Databases, Factual
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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 Skin Neoplasms Humans Hand Dermoscopy Image Interpretation, Computer-Assisted Neural Networks, Computer Sensitivity and Specificity Foot Melanoma
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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...
Melanoma Skin Neoplasms Dermoscopy Neural Networks, Computer Algorithms Databases, Factual Skin Humans Image Interpretation, Computer-Assisted
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