AIMC Topic: Melanoma

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Enhancing and advancements in deep learning for melanoma detection: A comprehensive review.

Computers in biology and medicine Jun 7, 2025
Melanoma, although not the most common skin cancer, poses a significant global health challenge, particularly in Europe, where incidence rates are high. Traditional melanoma diagnosis through biopsies can be invasive, but advancements in artificial i...
Skin Neoplasms Deep Learning Image Interpretation, Computer-Assisted Humans Melanoma
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Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning.

PloS one Jun 2, 2025
Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, including alcohol and tobacco use, allergies, infections, physical activity, exposure to UV light, viral infections, and the effects of climate change. ...
Machine Learning Algorithms Melanoma Humans Neural Networks, Computer Skin Neoplasms Image Processing, Computer-Assisted
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Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks.

Scientific reports May 24, 2025
Skin cancer is one of the most prevalent malignant tumors, and early detection is crucial for patient prognosis, leading to the development of mobile applications as screening tools. Recent advances in deep neural networks (DNNs) have accelerated the...
Skin Neoplasms Mobile Applications Computer Security Humans Photography Neural Networks, Computer Melanoma
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Updated Techniques for Melanoma Diagnosis.

Dermatologic clinics May 12, 2025
Melanoma, an aggressive skin cancer, requires timely diagnostics for improved patient outcomes. The ABCDE criteria-assessing asymmetry, borders, color, diameter, and evolution-serve as foundational guidelines for early detection. Non-invasive tools l...
Skin Neoplasms Dermoscopy Early Detection of Cancer Algorithms Melanoma Photography Humans Artificial Intelligence
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Impact of fine-tuning parameters of convolutional neural network for skin cancer detection.

Scientific reports Apr 28, 2025
Melanoma skin cancer is a deadly disease with a high mortality rate. A prompt diagnosis can aid in the treatment of the disease and potentially save the patient's life. Artificial intelligence methods can help diagnose cancer at a rapid speed. The li...
Deep Learning Humans Convolutional Neural Networks Neural Networks, Computer Melanoma Machine Learning Skin Neoplasms Algorithms
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SkinEHDLF a hybrid deep learning approach for accurate skin cancer classification in complex systems.

Scientific reports Apr 28, 2025
Skin cancer represents a significant global public health issue, and prompt and precise detection is essential for effective treatment. This study introduces SkinEHDLF, an innovative deep-learning model that enhances skin cancer classification. SkinE...
Humans Melanoma Skin Neoplasms Deep Learning
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Optimizing Immunotherapy: The Synergy of Immune Checkpoint Inhibitors with Artificial Intelligence in Melanoma Treatment.

Biomolecules Apr 16, 2025
Immune checkpoint inhibitors (ICIs) have transformed melanoma treatment; however, predicting patient responses remains a significant challenge. This study reviews the potential of artificial intelligence (AI) to optimize ICI therapy in melanoma by in...
Immunotherapy Melanoma Humans Tumor Microenvironment Artificial Intelligence Immune Checkpoint Inhibitors
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Integration of graph neural networks and transcriptomics analysis identify key pathways and gene signature for immunotherapy response and prognosis of skin melanoma.

BMC cancer Apr 9, 2025
OBJECTIVE: The assessment of immunotherapy plays a pivotal role in the clinical management of skin melanoma. Graph neural networks (GNNs), alongside other deep learning algorithms and bioinformatics approaches, have demonstrated substantial promise i...
Transcriptome Computational Biology Immunotherapy Gene Expression Regulation, Neoplastic Graph Neural Networks Tumor Microenvironment Biomarkers, Tumor Gene Expression Profiling Melanoma Skin Neoplasms Humans Neural Networks, Computer Prognosis
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Combining multi-omics analysis with machine learning to uncover novel molecular subtypes, prognostic markers, and insights into immunotherapy for melanoma.

BMC cancer Apr 7, 2025
BACKGROUND: Melanoma (SKCM) is an extremely aggressive form of cancer, characterized by high mortality rates, frequent metastasis, and limited treatment options. Our study aims to identify key target genes and enhance the diagnostic accuracy of melan...
Mutation Humans Multiomics Gene Expression Regulation, Neoplastic Tumor Microenvironment Female Biomarkers, Tumor Transcriptome Melanoma Machine Learning Gene Expression Profiling Cell Line, Tumor Skin Neoplasms Prognosis Immunotherapy
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Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care.

JCO clinical cancer informatics Apr 4, 2025
PURPOSE: The use of real-world data (RWD) in oncology is becoming increasingly important for clinical decision making and tailoring treatment. Despite the significant success of targeted therapy and immunotherapy in advanced melanoma, substantial var...
Male Middle Aged Pilot Projects Aged Adult Treatment Outcome Algorithms Precision Medicine Prognosis Female Melanoma Humans Machine Learning
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