AIMC Topic: Skin Neoplasms

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Weakly Supervised Classification of Mohs Surgical Sections Using Artificial Intelligence.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Nov 9, 2024
Basal cell carcinoma (BCC) is the most frequently diagnosed form of skin cancer, and its incidence continues to rise, particularly among older individuals. This trend puts a significant strain on health care systems, especially in terms of histopatho...
Artificial Intelligence Skin Neoplasms Carcinoma, Basal Cell Deep Learning Image Interpretation, Computer-Assisted Supervised Machine Learning Mohs Surgery Humans
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Enhanced convolutional neural network architecture optimized by improved chameleon swarm algorithm for melanoma detection using dermatological images.

Scientific reports Nov 6, 2024
Early detection and treatment of skin cancer are important for patient recovery and survival. Dermoscopy images can help clinicians for timely identification of cancer, but manual diagnosis is time-consuming, costly, and prone to human error. To cond...
Melanoma Deep Learning Skin Neoplasms Image Processing, Computer-Assisted Early Detection of Cancer Dermoscopy Humans Neural Networks, Computer Algorithms
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Deep Learning With Optical Coherence Tomography for Melanoma Identification and Risk Prediction.

Journal of biophotonics Oct 27, 2024
Malignant melanoma is the most severe skin cancer with a rising incidence rate. Several noninvasive image techniques and computer-aided diagnosis systems have been developed to help find melanoma in its early stages. However, most previous research u...
Melanoma Deep Learning Image Processing, Computer-Assisted Mice Skin Neoplasms Animals Risk Assessment Tomography, Optical Coherence
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A Multi-level ensemble approach for skin lesion classification using Customized Transfer Learning with Triple Attention.

PloS one Oct 24, 2024
Skin lesions encompass a variety of skin abnormalities, including skin diseases that affect structure and function, and skin cancer, which can be fatal and arise from abnormal cell growth. Early detection of lesions and automated prediction is crucia...
Deep Learning Skin Machine Learning Humans Neural Networks, Computer Algorithms Skin Neoplasms
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Lightweight skin cancer detection IP hardware implementation using cycle expansion and optimal computation arrays methods.

Computers in biology and medicine Oct 23, 2024
Skin cancer is recognized as one of the most perilous diseases globally. In the field of medical image classification, precise identification of early-stage skin lesions is imperative for accurate diagnosis. However, deploying these algorithms on low...
Algorithms Skin Neoplasms Humans Neural Networks, Computer
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Addressing Challenges in Skin Cancer Diagnosis: A Convolutional Swin Transformer Approach.

Journal of imaging informatics in medicine Oct 22, 2024
Skin cancer is one of the top three hazardous cancer types, and it is caused by the abnormal proliferation of tumor cells. Diagnosing skin cancer accurately and early is crucial for saving patients' lives. However, it is a challenging task due to var...
Neural Networks, Computer Skin Neoplasms Image Interpretation, Computer-Assisted Humans
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Personalized melanoma grading system: a presentation of a patient with four melanomas detected over two decades with evolving whole-body imaging and artificial intelligence systems.

Dermatology online journal Oct 15, 2024
Melanoma is a life-threatening tumor that significantly impacts individuals' health and society worldwide. Therefore, its diagnostic tools must be revolutionized, representing the most remarkable human efforts toward successful management. This retro...
Humans Artificial Intelligence Dermoscopy Photography Aged Neoplasm Grading Whole Body Imaging Male Retrospective Studies Genetic Testing Melanoma Skin Neoplasms
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Artificial Intelligence-Driven Skin Aging Simulation as a Novel Skin Cancer Prevention.

Dermatology (Basel, Switzerland) Oct 14, 2024
INTRODUCTION: Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a relevant public health concern due to rising incidence rates. Ultraviolet (UV) radiation poses a major risk factor for skin cancer. However, intentional ...
Ultraviolet Rays Health Behavior Skin Aging Pilot Projects Adolescent Skin Neoplasms Sunbathing Aged Sunburn Artificial Intelligence Aged, 80 and over Humans Young Adult Prospective Studies Adult Female Middle Aged
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Integrating color histogram analysis and convolutional neural networks for skin lesion classification.

Computers in biology and medicine Oct 12, 2024
The color of skin lesions is a crucial diagnostic feature for identifying malignant melanoma and other skin diseases. Typical colors associated with melanocytic lesions include tan, brown, black, red, white, and blue-gray. This study introduces a nov...
Skin Image Interpretation, Computer-Assisted Dermoscopy Color Neural Networks, Computer Algorithms Humans Databases, Factual Melanoma Skin Neoplasms
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Skin lesion segmentation using deep learning algorithm with ant colony optimization.

BMC medical informatics and decision making Sep 27, 2024
BACKGROUND: Segmentation of skin lesions remains essential in histological diagnosis and skin cancer surveillance. Recent advances in deep learning have paved the way for greater improvements in medical imaging. The Hybrid Residual Networks (ResUNet)...
Image Interpretation, Computer-Assisted Deep Learning Skin Diseases Humans Algorithms Skin Neoplasms
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