AIMC Topic: Skin Neoplasms
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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
Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms.
Journal of the European Academy of Dermatology and Venereology : JEADV
Oct 8, 2019
BACKGROUND: Machine learning algorithms achieve expert-level accuracy in skin lesion classification based on clinical images. However, it is not yet shown whether these algorithms could have high accuracy when embedded in a smartphone app, where imag...
Dense pooling layers in fully convolutional network for skin lesion segmentation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Oct 7, 2019
One of the essential tasks in medical image analysis is segmentation and accurate detection of borders. Lesion segmentation in skin images is an essential step in the computerized detection of skin cancer. However, many of the state-of-the-art segmen...
Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions.
JAMA network open
Oct 2, 2019
IMPORTANCE: A high proportion of suspicious pigmented skin lesions referred for investigation are benign. Techniques to improve the accuracy of melanoma diagnoses throughout the patient pathway are needed to reduce the pressure on secondary care and ...
Superior skin cancer classification by the combination of human and artificial intelligence.
European journal of cancer (Oxford, England : 1990)
Sep 10, 2019
BACKGROUND: In recent studies, convolutional neural networks (CNNs) outperformed dermatologists in distinguishing dermoscopic images of melanoma and nevi. In these studies, dermatologists and artificial intelligence were considered as opponents. Howe...
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study.
The Lancet. Digital health
Sep 5, 2019
BACKGROUND: Deep learning has the potential to transform health care; however, substantial expertise is required to train such models. We sought to evaluate the utility of automated deep learning software to develop medical image diagnostic classifie...
Gabor wavelet-based deep learning for skin lesion classification.
Computers in biology and medicine
Sep 4, 2019
Skin cancer cases are increasing and becoming one of the main problems worldwide. Skin cancer is known as a malignant type of skin lesion, and early detection and treatment are necessary. Malignant melanoma and seborrheic keratosis are known as commo...
Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network.
The British journal of dermatology
Aug 22, 2019
BACKGROUND: Pioneering effort has been made to facilitate the recognition of pathology in malignancies based on whole-slide images (WSIs) through deep learning approaches. It remains unclear whether we can accurately detect and locate basal cell carc...
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