AIMC Topic: Melanoma

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A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients.

Scientific reports Nov 27, 2022
The application of deep learning on whole-slide histological images (WSIs) can reveal insights for clinical and basic tumor science investigations. Finding quantitative imaging biomarkers from WSIs directly for the prediction of disease-free survival...
Humans Melanoma Proteomics Disease-Free Survival Melanoma, Cutaneous Malignant Skin Neoplasms Deep Learning
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Raman spectroscopy combined with deep learning for rapid detection of melanoma at the single cell level.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 23, 2022
Melanoma is an aggressive and metastatic skin cancer caused by genetic mutations in melanocytes, and its incidence is increasing year by year. Understanding the gene mutation information of melanoma cases is very important for its precise treatment. ...
Humans Melanoma Deep Learning Metal Nanoparticles Spectrum Analysis, Raman Gold
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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...
Dermatologists Dermoscopy Neural Networks, Computer Deep Learning Prospective Studies Melanoma Humans Skin Neoplasms Retrospective Studies
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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, Cutaneous Malignant Melanoma Humans Skin Neoplasms Prognosis
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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...
Deep Learning Artifacts Skin Neoplasms Dermoscopy Neural Networks, Computer Humans Melanoma
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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 ...
Skin Neoplasms Dermoscopy Deep Learning Neural Networks, Computer Humans Melanoma
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Gene Identification and Potential Drug Therapy for Drug-Resistant Melanoma with Bioinformatics and Deep Learning Technology.

Disease markers Jul 23, 2022
BACKGROUND: Melanomas are skin malignant tumors that arise from melanocytes which are primarily treated with surgery, chemotherapy, targeted therapy, immunotherapy, radiation therapy, etc. Targeted therapy is a promising approach to treating advanced...
Gene Ontology Computational Biology Gene Expression Regulation, Neoplastic Deep Learning Protein Interaction Maps Prognosis Melanoma Gene Expression Profiling Humans Technology
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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...
Diagnosis, Differential Melanoma, Cutaneous Malignant Nevus, Epithelioid and Spindle Cell Nevus, Pigmented Deep Learning Pilot Projects Melanoma Skin Neoplasms Humans Artificial Intelligence
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Ability to Predict Melanoma Within 5 Years Using Registry Data and a Convolutional Neural Network: A Proof of Concept Study.

Acta dermato-venereologica Jul 13, 2022
Research relating to machine learning algorithms, including convolutional neural networks, has increased during the past 5 years. The aim of this pilot study was to investigate how accurately a convolutional neural network, trained on Swedish registr...
Melanoma Pilot Projects Neural Networks, Computer Algorithms Registries Proof of Concept Study Humans
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An Online Prognostic Application for Melanoma Based on Machine Learning and Statistics.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS Jun 22, 2022
BACKGROUND: Melanoma is a common cancer that causes a severe socioeconomic burden. Patients usually turn to plastic surgeons to determine their prognosis after surgery.
Humans Databases, Factual Prognosis Machine Learning Melanoma
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