AIMC Topic: Skin Neoplasms

Clear Filters Showing 291 to 300 of 485 articles

Use of artificial intelligence in skin cancer diagnosis and management.

The Medical journal of Australia Sep 6, 2020
Humans Artificial Intelligence Algorithms Early Detection of Cancer Skin Disease Management Nevus, Pigmented Melanoma Skin Neoplasms Dermoscopy
View on PubMed DOI

Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges.

Journal of infection and public health Aug 2, 2020
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of pathological changes. Cancerous cells are abnormal areas often growing in any part of human body that are life-threatening. Cancer also known as tumor must be qui...
Humans Lung Neoplasms Magnetic Resonance Imaging Precursor Cell Lymphoblastic Leukemia-Lymphoma Brain Neoplasms Male Neoplasms Surveys and Questionnaires Machine Learning Liver Neoplasms Tomography, X-Ray Computed Skin Neoplasms Female Image Processing, Computer-Assisted Sensitivity and Specificity Breast Neoplasms
View on PubMed DOI

The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning.

Biomolecules Jul 29, 2020
Recent studies have demonstrated the usefulness of convolutional neural networks (CNNs) to classify images of melanoma, with accuracies comparable to those achieved by dermatologists. However, the performance of a CNN trained with only clinical image...
Deep Learning Skin Neural Networks, Computer Melanoma Skin Neoplasms Humans
View on PubMed DOI

Guiding biopsies of pigmented lesions with deep learning.

The Australasian journal of dermatology Jul 22, 2020
Image-Guided Biopsy Nevus, Pigmented Humans Melanoma Skin Neoplasms Deep Learning
View on PubMed DOI

Comparing the capabilities of transfer learning models to detect skin lesion in humans.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jul 9, 2020
Effective diagnosis of skin tumours mainly relies on the analysis of the characteristics of the lesion. Automatic detection of malignant skin lesion has become a mandatory task to reduce the risk of human deaths and increase their survival. This arti...
Neural Networks, Computer Machine Learning Skin Neoplasms Humans Skin
View on PubMed DOI

Melanoma detection using adversarial training and deep transfer learning.

Physics in medicine and biology Jul 6, 2020
Skin lesion datasets consist predominantly of normal samples with only a small percentage of abnormal ones, giving rise to the class imbalance problem. Also, skin lesion images are largely similar in overall appearance owing to the low inter-class va...
Skin Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Melanoma
View on PubMed DOI

A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections.

Journal of the American Academy of Dermatology Jun 23, 2020
Skin Feasibility Studies Image Interpretation, Computer-Assisted Deep Learning Pilot Projects ROC Curve Humans Mohs Surgery Retrospective Studies False Negative Reactions Skin Neoplasms Proof of Concept Study Carcinoma, Basal Cell Frozen Sections
View on PubMed DOI

Human-computer collaboration for skin cancer recognition.

Nature medicine Jun 22, 2020
The rapid increase in telemedicine coupled with recent advances in diagnostic artificial intelligence (AI) create the imperative to consider the opportunities and risks of inserting AI-based support into new paradigms of care. Here we build on recent...
Skin Neoplasms User-Computer Interface Telemedicine Artificial Intelligence Physicians Clinical Decision-Making Humans Neural Networks, Computer
View on PubMed DOI

Past and present of computer-assisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions.

European journal of cancer (Oxford, England : 1990) Jun 10, 2020
BACKGROUND: Convolutional neural networks (CNNs) have shown a dermatologist-level performance in the classification of skin lesions. We aimed to deliver a head-to-head comparison of a conventional image analyser (CIA), which depends on segmentation a...
Humans Databases, Factual Predictive Value of Tests Prospective Studies Image Interpretation, Computer-Assisted Prognosis Adult Female Melanoma Cross-Sectional Studies Aged Skin Neoplasms Deep Learning Middle Aged Male Aged, 80 and over Dermoscopy Adolescent Diagnosis, Computer-Assisted Reproducibility of Results Young Adult
View on PubMed DOI

An Efficient Skin Cancer Diagnostic System Using Bendlet Transform and Support Vector Machine.

Anais da Academia Brasileira de Ciencias May 29, 2020
Skin is the outermost and largest organ of the human body that protects us from the external agents. Among the various types of diseases affecting the skin, melanoma (skin cancer) is the most dangerous and deadliest disease. Though it is one of the d...
Diagnosis, Computer-Assisted Support Vector Machine Humans Dermoscopy Melanoma Reproducibility of Results Skin Neoplasms Sensitivity and Specificity
View on PubMed DOI
Popular Topics
Recent Journals