AIMC Topic: Melanoma
Clear Filters Showing 341 to 348 of 348 articles
Deep Learning in Medicine. Are We Ready?
Annals of the Academy of Medicine, Singapore
Jan 1, 2019
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.
Annals of oncology : official journal of the European Society for Medical Oncology
Aug 1, 2018
BACKGROUND: Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN's diagnostic performance to larger groups of dermatologists are lacking.
Rethinking Skin Lesion Segmentation in a Convolutional Classifier.
Journal of digital imaging
Aug 1, 2018
Melanoma is a fatal form of skin cancer when left undiagnosed. Computer-aided diagnosis systems powered by convolutional neural networks (CNNs) can improve diagnostic accuracy and save lives. CNNs have been successfully used in both skin lesion segme...
Population-Based Analysis of Histologically Confirmed Melanocytic Proliferations Using Natural Language Processing.
JAMA dermatology
Jan 1, 2018
IMPORTANCE: Population-based information on the distribution of histologic diagnoses associated with skin biopsies is unknown. Electronic medical records (EMRs) enable automated extraction of pathology report data to improve our epidemiologic underst...
Deep Tissue Sequencing Using Augmented Intelligence to Probe Melanocytic Lesions.
Journal of cutaneous medicine and surgery
Jan 1, 2017
A deep bag-of-features model for the classification of melanomas in dermoscopy images.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Deep learning and unsupervised feature learning have received great attention in past years for their ability to transform input data into high level representations using machine learning techniques. Such interest has been growing steadily in the fi...
A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition.
Studies in health technology and informatics
Jan 1, 2015
Advanced techniques in machine learning combined with scalable "cloud" computing infrastructure are driving the creation of new and innovative health diagnostic applications. We describe a service and application for performing image training and rec...
Conceptual Knowledge Discovery in Databases for Drug Combinations Predictions in Malignant Melanoma.
Studies in health technology and informatics
Jan 1, 2015
The worldwide incidence of melanoma is rising faster than any other cancer, and prognosis for patients with metastatic disease is poor. Current targeted therapies are limited in their durability and/or effect size in certain patient populations due t...
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