AIMC Topic: Skin Neoplasms

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Adaptive neighborhood triplet loss: enhanced segmentation of dermoscopy datasets by mining pixel information.

International journal of computer assisted radiology and surgery Aug 2, 2024
PURPOSE: The integration of deep learning in image segmentation technology markedly improves the automation capabilities of medical diagnostic systems, reducing the dependence on the clinical expertise of medical professionals. However, the accuracy ...
Image Interpretation, Computer-Assisted Datasets as Topic Image Processing, Computer-Assisted Neural Networks, Computer Data Mining Melanoma Dermoscopy Deep Learning Skin Neoplasms Humans
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Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification.

BMC medical imaging Aug 2, 2024
Skin cancer stands as one of the foremost challenges in oncology, with its early detection being crucial for successful treatment outcomes. Traditional diagnostic methods depend on dermatologist expertise, creating a need for more reliable, automated...
Humans Neural Networks, Computer Deep Learning Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy
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Skin cancer detection through attention guided dual autoencoder approach with extreme learning machine.

Scientific reports Aug 1, 2024
Skin cancer is a lethal disease, and its early detection plays a pivotal role in preventing its spread to other body organs and tissues. Artificial Intelligence (AI)-based automated methods can play a significant role in its early detection. This stu...
Humans Skin Neoplasms Image Processing, Computer-Assisted Early Detection of Cancer Machine Learning Artificial Intelligence Algorithms
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Using deep learning to decipher the impact of telomerase promoter mutations on the dynamic metastatic morpholome.

PLoS computational biology Jul 30, 2024
Melanoma showcases a complex interplay of genetic alterations and intra- and inter-cellular morphological changes during metastatic transformation. While pivotal, the role of specific mutations in dictating these changes still needs to be fully eluci...
Computational Biology Mutation Neoplasm Metastasis Humans Deep Learning Melanoma Cell Line, Tumor Phenotype Promoter Regions, Genetic Skin Neoplasms Telomerase
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Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making.

Scientific reports Jul 27, 2024
Skin cancer is a type of cancer disease in which abnormal alterations in skin characteristics can be detected. It can be treated if it is detected early. Many artificial intelligence-based models have been developed for skin cancer detection and clas...
Neural Networks, Computer Machine Learning Humans Skin Algorithms Skin Neoplasms
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Deep learning-assisted multispectral imaging for early screening of skin diseases.

Photodiagnosis and photodynamic therapy Jul 26, 2024
INTRODUCTION: Melanocytic nevi (MN), warts, seborrheic keratoses (SK), and psoriasis are four common types of skin surface lesions that typically require dermatoscopic examination for definitive diagnosis in clinical dermatology settings. This proces...
Warts Nevus, Pigmented Skin Diseases Humans Early Diagnosis Deep Learning Skin Neoplasms Keratosis, Seborrheic Psoriasis Dermoscopy
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Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis.

Artificial intelligence in medicine Jul 25, 2024
BACKGROUND: Melanoma is a serious risk to human health and early identification is vital for treatment success. Deep learning (DL) has the potential to detect cancer using imaging technologies and many studies provide evidence that DL algorithms can ...
Skin Humans Skin Neoplasms Dermoscopy Melanoma Deep Learning
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Performance of a Machine Learning Algorithm on Lesions with a High Preoperative Suspicion of Invasive Melanoma.

Acta dermato-venereologica Jul 18, 2024
Neoplasm Invasiveness Retrospective Studies Predictive Value of Tests Male Female Middle Aged Algorithms Skin Neoplasms Aged Humans Melanoma Machine Learning
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Asymmetric lesion detection with geometric patterns and CNN-SVM classification.

Computers in biology and medicine Jul 15, 2024
In dermoscopic images, which allow visualization of surface skin structures not visible to the naked eye, lesion shape offers vital insights into skin diseases. In clinically practiced methods, asymmetric lesion shape is one of the criteria for diagn...
Image Interpretation, Computer-Assisted Support Vector Machine Skin Neural Networks, Computer Algorithms Skin Neoplasms Dermoscopy Melanoma Humans
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Artificial Intelligence for Mohs and Dermatologic Surgery: A Systematic Review and Meta-Analysis.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] Jul 11, 2024
BACKGROUND: Over the past decade, several studies have shown that potential of artificial intelligence (AI) in dermatology. However, there has yet to be a systematic review evaluating the usage of AI specifically within the field of Mohs micrographic...
Humans Artificial Intelligence Mohs Surgery Skin Neoplasms Margins of Excision
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