AIMC Topic: Skin Neoplasms

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Artificial Intelligence and Convolutional Neural Networks-Driven Detection of Micro and Macro Metastasis of Cutaneous Melanoma to the Lymph Nodes.

The American Journal of dermatopathology Mar 19, 2025
BACKGROUND: Lymph node (LN) assessment is a critical component in the staging and management of cutaneous melanoma. Traditional histopathological evaluation, supported by immunohistochemical staining, is the gold standard for detecting LN metastases....
Image Interpretation, Computer-Assisted Melanoma Skin Neoplasms Convolutional Neural Networks Humans Lymph Nodes Neural Networks, Computer Lymphatic Metastasis Artificial Intelligence Melanoma, Cutaneous Malignant
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Revealing gut microbiota biomarkers associated with melanoma immunotherapy response and key bacteria-fungi interaction relationships: evidence from metagenomics, machine learning, and SHAP methodology.

Frontiers in immunology Mar 18, 2025
INTRODUCTION: The gut microbiota is associated with the response to immunotherapy in cutaneous melanoma (CM). However, gut fungal biomarkers and bacterial-fungal interactions have yet to be determined.
Fungi Immunotherapy Metagenomics Skin Neoplasms Treatment Outcome Biomarkers Humans Male Aged Gastrointestinal Microbiome Female Machine Learning Middle Aged Adult Melanoma Bacteria
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Skin lesion segmentation with a multiscale input fusion U-Net incorporating Res2-SE and pyramid dilated convolution.

Scientific reports Mar 7, 2025
Skin lesion segmentation is crucial for identifying and diagnosing skin diseases. Accurate segmentation aids in identifying and localizing diseases, monitoring morphological changes, and extracting features for further diagnosis, especially in the ea...
Image Processing, Computer-Assisted Skin Skin Diseases Algorithms Skin Neoplasms Dermoscopy Humans Neural Networks, Computer
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A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection.

Computers in biology and medicine Mar 6, 2025
Cancer is a severe threat to public health. Early diagnosis of disease is critical, but the lack of experts in this field, the personal assessment process, the clinical workload, and the high level of similarity in disease classes make it difficult. ...
Lung Neoplasms Brain Neoplasms Neoplasms Deep Learning Humans Neural Networks, Computer Skin Neoplasms
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Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.

Journal of biomedical optics Mar 4, 2025
SIGNIFICANCE: The incidence of keratinocyte carcinomas (KCs) is increasing every year, making the task of developing new methods for KC early diagnosis of utmost medical and economical importance.
Humans Machine Learning Carcinoma, Squamous Cell Aged Aged, 80 and over Female Skin Neoplasms Carcinoma, Basal Cell Support Vector Machine Skin Spectrometry, Fluorescence Optical Imaging Discriminant Analysis Keratosis, Actinic Male Middle Aged Diagnosis, Computer-Assisted
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An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models.

Scientific reports Mar 3, 2025
Skin cancer is the most dominant and critical method of cancer, which arises all over the world. Its damaging effects can range from disfigurement to major medical expenditures and even death if not analyzed and preserved timely. Conventional models ...
Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Humans Algorithms Skin Neoplasms
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Skin cancer detection using dermoscopic images with convolutional neural network.

Scientific reports Mar 1, 2025
Skin malignant melanoma is a high-risk tumor with low incidence but high mortality rates. Early detection and treatment are crucial for a cure. Machine learning studies have focused on classifying melanoma tumors, but these methods are cumbersome and...
Humans Neural Networks, Computer Melanoma Convolutional Neural Networks Early Detection of Cancer Melanoma, Cutaneous Malignant Skin Neoplasms Dermoscopy Deep Learning
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A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification.

Scientific reports Feb 20, 2025
Skin cancer is widespread and can be potentially fatal. According to the World Health Organisation (WHO), it has been identified as a leading cause of mortality. It is essential to detect skin cancer early so that effective treatment can be provided ...
Fuzzy Logic Algorithms Databases, Factual Humans Skin Neoplasms
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A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification.

Artificial intelligence in medicine Feb 19, 2025
Skin cancer is frequently occurring and has become a major contributor to both cancer incidence and mortality. Accurate and timely diagnosis of skin cancer holds the potential to save lives. Deep learning-based methods have demonstrated significant a...
Humans Deep Learning Image Interpretation, Computer-Assisted Algorithms Skin Neoplasms Dermoscopy
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A promising AI based super resolution image reconstruction technique for early diagnosis of skin cancer.

Scientific reports Feb 11, 2025
Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiation. Among all other types, melanoma is a notable severe kind of skin cancer, which can be fatal. Melanoma is a malignant skin cancer arising from melan...
Artificial Intelligence Machine Learning Algorithms Melanoma Skin Neoplasms Dermoscopy Humans Neural Networks, Computer Image Processing, Computer-Assisted Early Detection of Cancer Skin
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