AIMC Topic: Skin Neoplasms

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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...
Image Interpretation, Computer-Assisted Foot Neural Networks, Computer Melanoma Skin Neoplasms Dermoscopy Sensitivity and Specificity Early Detection of Cancer Skin Hand Humans
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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...
Humans Neural Networks, Computer Algorithms Skin Databases, Factual Image Interpretation, Computer-Assisted Melanoma Skin Neoplasms Dermoscopy
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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.

The Journal of investigative dermatology Feb 8, 2018
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevu...
Predictive Value of Tests Area Under Curve Biopsy Skin Deep Learning ROC Curve Image Processing, Computer-Assisted Diagnosis, Differential Warts Granuloma, Pyogenic Keratosis, Actinic Lentigo Datasets as Topic False Positive Reactions Photography Keratosis, Seborrheic Female Humans Skin Neoplasms Software Aged Aged, 80 and over Young Adult Adult Male Middle Aged
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Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Scientific reports Jan 26, 2018
Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the development of non-melanoma skin cancer (NMSC). The objective of this study was to develop and validate a multi-parameterized artificial neural network ...
Decision Support Techniques Female Skin Neoplasms Sensitivity and Specificity Humans Neural Networks, Computer Early Diagnosis Male Middle Aged ROC Curve Diagnostic Tests, Routine
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Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks.

IEEE journal of biomedical and health informatics Dec 25, 2017
Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-aided diagnosis of melanoma. However, this task is challenging due to significant variations of lesion appearances across different patients. This challenge is ...
Deep Learning Skin Image Interpretation, Computer-Assisted Melanoma Humans Skin Neoplasms Algorithms Dermoscopy Databases, Factual
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From word models to executable models of signaling networks using automated assembly.

Molecular systems biology Nov 24, 2017
Word models (natural language descriptions of molecular mechanisms) are a common currency in spoken and written communication in biomedicine but are of limited use in predicting the behavior of complex biological networks. We present an approach to b...
Humans Neural Networks, Computer Computer Simulation Language Melanoma Skin Neoplasms Antineoplastic Agents Cell Line, Tumor Drug Resistance, Neoplasm Tumor Suppressor Protein p53 Proto-Oncogene Proteins p21(ras) Proto-Oncogene Proteins B-raf Vemurafenib DNA Damage Sulfonamides Gene Expression Regulation, Neoplastic Models, Genetic Signal Transduction Natural Language Processing Indoles Enzyme Inhibitors
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Melanoma segmentation based on deep learning.

Computer assisted surgery (Abingdon, England) Oct 18, 2017
Malignant melanoma is one of the most deadly forms of skin cancer, which is one of the world's fastest-growing cancers. Early diagnosis and treatment is critical. In this study, a neural network structure is utilized to construct a broad and accurate...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Early Detection of Cancer Melanoma, Cutaneous Malignant Algorithms Melanoma Skin Neoplasms Reproducibility of Results
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Machine learning and melanoma: The future of screening.

Journal of the American Academy of Dermatology Oct 6, 2017
Skin Neoplasms Dermoscopy Sensitivity and Specificity Early Detection of Cancer Humans Machine Learning Melanoma
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Rapid and accurate intraoperative pathological diagnosis by artificial intelligence with deep learning technology.

Medical hypotheses Sep 1, 2017
Frozen section is widely used for intraoperative pathological diagnosis (IOPD), which is essential for intraoperative decision making. However, frozen section suffers from some drawbacks, such as time consuming and high misdiagnosis rate. Recently, a...
Decision Making, Computer-Assisted Frozen Sections Diagnostic Errors Diagnosis, Computer-Assisted Models, Theoretical Intraoperative Period Humans Artificial Intelligence Machine Learning Skin Neoplasms
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Employing decomposable partially observable Markov decision processes to control gene regulatory networks.

Artificial intelligence in medicine Jul 18, 2017
OBJECTIVE: Formulate the induction and control of gene regulatory networks (GRNs) from gene expression data using Partially Observable Markov Decision Processes (POMDPs).
Computational Biology Skin Neoplasms Gene Expression Regulation, Neoplastic Gene Expression Profiling Humans Transcriptome Databases, Genetic Gene Regulatory Networks Artificial Intelligence Markov Chains Melanoma
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