AIMC Topic: Melanoma
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An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis.
IEEE journal of biomedical and health informatics
Feb 13, 2020
Automatic skin lesion analysis of dermoscopy images remains a challenging topic. In this paper, we propose an end-to-end multi-task deep learning framework for automatic skin lesion analysis. The proposed framework can perform skin lesion detection, ...
Reply to the letter to the editor: 'Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images'.
European journal of cancer (Oxford, England : 1990)
Jan 30, 2020
Artificial intelligence and melanoma detection: friend or foe of dermatologists?
British journal of hospital medicine (London, England : 2005)
Jan 28, 2020
The significance of early diagnosis for melanoma prognosis and survival cannot be understated. The public health benefits of melanoma prevention and detection have driven advances in diagnostics for skin cancer, particularly in the field of artificia...
Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined naevi and melanomas.
Journal of the European Academy of Dermatology and Venereology : JEADV
Jan 21, 2020
BACKGROUND: Deep learning convolutional neural networks (CNN) may assist physicians in the diagnosis of melanoma. The capacity of a CNN to differentiate melanomas from combined naevi, the latter representing well-known melanoma simulators, has not be...
Melanoma recognition by a deep learning convolutional neural network-Performance in different melanoma subtypes and localisations.
European journal of cancer (Oxford, England : 1990)
Jan 20, 2020
BACKGROUND: Deep learning convolutional neural networks (CNNs) show great potential for melanoma diagnosis. Melanoma thickness at diagnosis among others depends on melanoma localisation and subtype (e.g. advanced thickness in acrolentiginous or nodul...
A Machine-Learning Approach to Identify a Prognostic Cytokine Signature That Is Associated With Nivolumab Clearance in Patients With Advanced Melanoma.
Clinical pharmacology and therapeutics
Dec 19, 2019
Lower clearance of immune checkpoint inhibitors is a predictor of improved overall survival (OS) in patients with advanced cancer. We investigated a novel approach using machine learning to identify a baseline composite cytokine signature via clearan...
Histopathology-guided mass spectrometry differentiates benign nevi from malignant melanoma.
Journal of cutaneous pathology
Nov 27, 2019
PURPOSE: Distinguishing benign nevi from malignant melanoma using current histopathological criteria may be very challenging and is one the most difficult areas in dermatopathology. The goal of this study was to identify proteomic differences, which ...
Skin cancer diagnosis based on optimized convolutional neural network.
Artificial intelligence in medicine
Nov 8, 2019
Early detection of skin cancer is very important and can prevent some skin cancers, such as focal cell carcinoma and melanoma. Although there are several reasons that have bad impacts on the detection precision. Recently, the utilization of image pro...
Systematic review of machine learning for diagnosis and prognosis in dermatology.
The Journal of dermatological treatment
Oct 31, 2019
Software systems using artificial intelligence for medical purposes have been developed in recent years. The success of deep neural networks (DNN) in 2012 in the image recognition challenge ImageNet LSVRC 2010 fueled expectations of the potential fo...
Re: Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images.
European journal of cancer (Oxford, England : 1990)
Oct 23, 2019
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