AIMC Topic: Skin Neoplasms

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Application of Deep Learning on the Prognosis of Cutaneous Melanoma Based on Full Scan Pathology Images.

BioMed research international Aug 28, 2022
INTRODUCTION: The purpose of this study is to use deep learning and machine learning to learn and classify patients with cutaneous melanoma with different prognoses and to explore the application value of deep learning in the prognosis of cutaneous m...
Deep Learning Melanoma Melanoma, Cutaneous Malignant Skin Neoplasms Humans Prognosis
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Artificial intelligence in the detection of skin cancer.

Journal of the American Academy of Dermatology Aug 23, 2022
Recent advances in artificial intelligence (AI) in dermatology have demonstrated the potential to improve the accuracy of skin cancer detection. These capabilities may augment current diagnostic processes and improve the approach to the management of...
Humans Quality of Life Skin Health Care Costs Artificial Intelligence Skin Neoplasms
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Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application.

Sensors (Basel, Switzerland) Aug 17, 2022
In recent years, researchers designed several artificial intelligence solutions for healthcare applications, which usually evolved into functional solutions for clinical practice. Furthermore, deep learning (DL) methods are well-suited to process the...
Skin Neoplasms Artificial Intelligence Delivery of Health Care Humans Neural Networks, Computer
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A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity.

PloS one Aug 4, 2022
The complex feature characteristics and low contrast of cancer lesions, a high degree of inter-class resemblance between malignant and benign lesions, and the presence of various artifacts including hairs make automated melanoma recognition in dermos...
Dermoscopy Deep Learning Melanoma Skin Neoplasms Artifacts Humans Neural Networks, Computer
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SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.

Sensors (Basel, Switzerland) Jul 28, 2022
Skin cancer is a deadly disease, and its early diagnosis enhances the chances of survival. Deep learning algorithms for skin cancer detection have become popular in recent years. A novel framework based on deep learning is proposed in this study for ...
Deep Learning Humans Neural Networks, Computer Skin Neoplasms Dermoscopy Melanoma
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Histologic Screening of Malignant Melanoma, Spitz, Dermal and Junctional Melanocytic Nevi Using a Deep Learning Model.

The American Journal of dermatopathology Jul 19, 2022
OBJECTIVE: The integration of an artificial intelligence tool into pathologists' workflow may lead to a more accurate and timely diagnosis of melanocytic lesions, directly patient care. The objective of this study was to create and evaluate the perfo...
Nevus, Epithelioid and Spindle Cell Melanoma, Cutaneous Malignant Nevus, Pigmented Skin Neoplasms Deep Learning Pilot Projects Diagnosis, Differential Artificial Intelligence Melanoma Humans
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Validating Automatic Concept-Based Explanations for AI-Based Digital Histopathology.

Sensors (Basel, Switzerland) Jul 18, 2022
Digital histopathology poses several challenges such as label noise, class imbalance, limited availability of labelled data, and several latent biases to deep learning, negatively influencing transparency, reproducibility, and classification performa...
Humans Skin Neoplasms Reproducibility of Results Neural Networks, Computer Artificial Intelligence
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DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images.

Computers in biology and medicine Jul 12, 2022
Highly focused images of skin captured with ordinary cameras, called macro-images, are extensively used in dermatology. Being highly focused views, the macro-images contain only lesions and background regions. Hence, the localization of lesions on th...
Image Processing, Computer-Assisted Entropy Algorithms Humans Skin Neoplasms Neural Networks, Computer
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Real-time, in vivo skin cancer triage by laser-induced plasma spectroscopy combined with a deep learning-based diagnostic algorithm.

Journal of the American Academy of Dermatology Jun 22, 2022
BACKGROUND: Although various skin cancer detection devices have been proposed, most of them are not used owing to their insufficient diagnostic accuracies. Laser-induced plasma spectroscopy (LIPS) can noninvasively extract biochemical information of ...
Humans Algorithms Skin Neoplasms Carcinoma, Basal Cell Triage Spectrum Analysis Sensitivity and Specificity Deep Learning
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Dermoscopic Image Classification of Pigmented Nevus under Deep Learning and the Correlation with Pathological Features.

Computational and mathematical methods in medicine May 28, 2022
The objective of this study was to explore the image classification and case characteristics of pigmented nevus (PN) diagnosed by dermoscopy under deep learning. 268 patients were included as the research objects and they were randomly divided into o...
Melanoma Skin Neoplasms Nevus Humans Nevus, Pigmented Dermoscopy Deep Learning
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