AIMC Topic: Skin Neoplasms

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Evaluation of Melanoma Thickness with Clinical Close-up and Dermoscopic Images Using a Convolutional Neural Network.

Acta dermato-venereologica Oct 11, 2022
Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in situ melanomas. The aim of this study was to analyse how a CNN model, integrating both clinical close-up and dermoscopic images, performed compared with...
Prospective Studies Retrospective Studies Humans Neural Networks, Computer Dermoscopy Deep Learning Dermatologists Melanoma Skin Neoplasms
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Skin Lesion Classification on Imbalanced Data Using Deep Learning with Soft Attention.

Sensors (Basel, Switzerland) Oct 4, 2022
Today, the rapid development of industrial zones leads to an increased incidence of skin diseases because of polluted air. According to a report by the American Cancer Society, it is estimated that in 2022 there will be about 100,000 people suffering...
Skin Neoplasms Humans Deep Learning Skin Diseases Artificial Intelligence Attention
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Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset.

Scientific data Sep 27, 2022
Due to morphological similarities, the differentiation of histologic sections of cutaneous tumors into individual subtypes can be challenging. Recently, deep learning-based approaches have proven their potential for supporting pathologists in this re...
Animals Dogs Algorithms Skin Neoplasms Dog Diseases Neural Networks, Computer
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Classification of Skin Cancer Lesions Using Explainable Deep Learning.

Sensors (Basel, Switzerland) Sep 13, 2022
Skin cancer is among the most prevalent and life-threatening forms of cancer that occur worldwide. Traditional methods of skin cancer detection need an in-depth physical examination by a medical professional, which is time-consuming in some cases. Re...
Neural Networks, Computer Skin Neoplasms Sensitivity and Specificity Humans Deep Learning Skin
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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 Humans Skin Neoplasms 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...
Quality of Life Skin Health Care Costs Artificial Intelligence Skin Neoplasms Humans
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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 Humans Artificial Intelligence Delivery of Health Care 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 Neural Networks, Computer Melanoma Skin Neoplasms Humans Dermoscopy
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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...
Artificial Intelligence Melanoma Skin Neoplasms Deep Learning Nevus, Epithelioid and Spindle Cell Humans Melanoma, Cutaneous Malignant Nevus, Pigmented Pilot Projects Diagnosis, Differential
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