AIMC Topic: Melanoma

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Biologically Interpretable Deep Learning To Predict Response to Immunotherapy In Advanced Melanoma Using Mutations and Copy Number Variations.

Journal of immunotherapy (Hagerstown, Md. : 1997) May 24, 2023
Only 30-40% of advanced melanoma patients respond effectively to immunotherapy in clinical practice, so it is necessary to accurately identify the response of patients to immunotherapy pre-clinically. Here, we develop KP-NET, a deep learning model th...
Humans Melanoma Immunotherapy DNA Copy Number Variations Mutation Deep Learning B7-H1 Antigen
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Deep learning detection of melanoma metastases in lymph nodes.

European journal of cancer (Oxford, England : 1990) Apr 29, 2023
BACKGROUND: In melanoma patients, surgical excision of the first draining lymph node, the sentinel lymph node (SLN), is a routine procedure to evaluate lymphogenic metastases. Metastasis detection by histopathological analysis assesses multiple tissu...
Lymph Node Excision Sentinel Lymph Node Biopsy Lymph Nodes Humans Lymphatic Metastasis Artificial Intelligence Skin Neoplasms Lymphadenopathy Deep Learning Melanoma
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Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis.

Artificial intelligence in medicine Apr 28, 2023
Early melanoma diagnosis is the most important factor in the treatment of skin cancer and can effectively reduce mortality rates. Recently, Generative Adversarial Networks have been used to augment data, prevent overfitting and improve the diagnostic...
Algorithms Melanoma Skin Neoplasms Humans Neural Networks, Computer Deep Learning
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Integrating single-cell analysis and machine learning to create glycosylation-based gene signature for prognostic prediction of uveal melanoma.

Frontiers in endocrinology Mar 23, 2023
BACKGROUND: Increasing evidence suggests a correlation between glycosylation and the onset of cancer. However, the clinical relevance of glycosylation-related genes (GRGs) in uveal melanoma (UM) is yet to be fully understood. This study aimed to shed...
Uveal Melanoma Glycosylation Uveal Neoplasms Melanoma Humans Prognosis Single-Cell Analysis Machine Learning
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Gene-environment interaction analysis via deep learning.

Genetic epidemiology Feb 19, 2023
Gene-environment (G-E) interaction analysis plays an important role in studying complex diseases. Extensive methodological research has been conducted on G-E interaction analysis, and the existing methods are mostly based on regression techniques. In...
Deep Learning Models, Genetic Melanoma, Cutaneous Malignant Gene-Environment Interaction Melanoma Skin Neoplasms Humans
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Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset.

Computers in biology and medicine Feb 5, 2023
Explainable Artificial Intelligence (XAI) makes AI understandable to the human user particularly when the model is complex and opaque. Local Interpretable Model-agnostic Explanations (LIME) has an image explainer package that is used to explain deep ...
Melanoma Oxides Humans Artificial Intelligence
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Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare.

Neural networks : the official journal of the International Neural Network Society Jan 24, 2023
BACKGROUND: The idea of smart healthcare has gradually gained attention as a result of the information technology industry's rapid development. Smart healthcare uses next-generation technologies i.e., artificial intelligence (AI) and Internet of Thin...
Artificial Intelligence Algorithms Delivery of Health Care Melanoma Humans Deep Learning Skin Neoplasms Dermoscopy
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Intraclass Clustering-Based CNN Approach for Detection of Malignant Melanoma.

Sensors (Basel, Switzerland) Jan 13, 2023
This paper describes the process of developing a classification model for the effective detection of malignant melanoma, an aggressive type of cancer in skin lesions. Primary focus is given on fine-tuning and improving a state-of-the-art convolutiona...
Melanoma, Cutaneous Malignant Neural Networks, Computer Artificial Intelligence Dermoscopy Cluster Analysis Melanoma Humans
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Artificial Intelligence and Advanced Melanoma: Treatment Management Implications.

Cells Dec 8, 2022
Artificial intelligence (AI), a field of research in which computers are applied to mimic humans, is continuously expanding and influencing many aspects of our lives. From electric cars to search motors, AI helps us manage our daily lives by simplify...
Melanoma Medical Oncology Humans Software Artificial Intelligence Precision Medicine
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Ensemble deep learning enhanced with self-attention for predicting immunotherapeutic responses to cancers.

Frontiers in immunology Dec 1, 2022
INTRODUCTION: Despite the many benefits immunotherapy has brought to patients with different cancers, its clinical applications and improvements are still hindered by drug resistance. Fostering a reliable approach to identifying sufferers who are sen...
Immunotherapy Attention Melanoma Humans Deep Learning Neural Networks, Computer
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