AIMC Topic: Skin Neoplasms

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Skin Cancer Detection Using Kernel Fuzzy C-Means and Improved Neural Network Optimization Algorithm.

Computational intelligence and neuroscience Jul 17, 2021
Early diagnosis of malignant skin cancer from images is a significant part of the cancer treatment process. One of the principal purposes of this research is to propose a pipeline methodology for an optimum computer-aided diagnosis of skin cancers. T...
Skin Neoplasms Diagnosis, Computer-Assisted Support Vector Machine Humans Neural Networks, Computer Algorithms
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An Evolutionary Approach for the Enhancement of Dermatological Images and Their Classification Using Deep Learning Models.

Journal of healthcare engineering Jul 15, 2021
Dermatological problems are the most widely spread skin diseases amongst human beings. They can be infectious, chronic, and sometimes may also lead to serious health problems such as skin cancer. Generally, rural area clinics lack trained dermatologi...
Humans Neural Networks, Computer Melanoma Deep Learning Skin Neoplasms Carcinoma, Basal Cell
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Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy.

The Journal of investigative dermatology Jul 13, 2021
Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases diagnosed annually in the United States. Conventionally, BCC is diagnosed by naked eye examination and dermoscopy. Suspicious lesions are either removed or biopsied ...
Skin Neoplasms Carcinoma, Basal Cell Dermoscopy Reproducibility of Results Humans Artificial Intelligence Female Microscopy, Confocal Biopsy Models, Biological Automation Physical Examination Male Middle Aged Deep Learning Aged Aged, 80 and over Adult
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Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks.

Dermatology (Basel, Switzerland) Jul 8, 2021
BACKGROUND: The number of naevi on a person is the strongest risk factor for melanoma; however, naevus counting is highly variable due to lack of consistent methodology and lack of inter-rater agreement. Machine learning has been shown to be a valuab...
Reproducibility of Results Aged Adult Sensitivity and Specificity Female Melanoma Skin Neoplasms Early Detection of Cancer Photography Whole Body Imaging Nevus Male Middle Aged Imaging, Three-Dimensional Humans Neural Networks, Computer
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Accuracy of a convolutional neural network for dermatological diagnosis of tumours and skin lesions in a clinical setting.

Clinical and experimental dermatology May 11, 2021
Diagnosis, Computer-Assisted Diagnosis, Differential Skin Diseases Software Skin Neoplasms Humans Neural Networks, Computer
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A Visually Interpretable Deep Learning Framework for Histopathological Image-Based Skin Cancer Diagnosis.

IEEE journal of biomedical and health informatics May 11, 2021
Owing to the high incidence rate and the severe impact of skin cancer, the precise diagnosis of malignant skin tumors is a significant goal, especially considering treatment is normally effective if the tumor is detected early. Limited published hist...
Humans Skin Neoplasms Deep Learning Skin
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Dark corner artefact and diagnostic performance of a market-approved neural network for skin cancer classification.

Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG May 10, 2021
BACKGROUND AND OBJECTIVES: Convolutional neural networks (CNN) have proven dermatologist-level performance in skin lesion classification. Prior to a broader clinical application, an assessment of limitations is crucial. Therefore, the influence of a ...
Humans Neural Networks, Computer Artifacts Prospective Studies Skin Neoplasms Deep Learning
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Domain adaptation and self-supervised learning for surgical margin detection.

International journal of computer assisted radiology and surgery May 6, 2021
PURPOSE: One in five women who undergo breast conserving surgery will need a second revision surgery due to remaining tumor. The iKnife is a mass spectrometry modality that produces real-time margin information based on the metabolite signatures in s...
Stochastic Processes Margins of Excision Mastectomy, Segmental Supervised Machine Learning Calibration Operating Rooms Skin Breast Mastectomy Female Skin Neoplasms Carcinoma, Basal Cell Breast Neoplasms Area Under Curve Reproducibility of Results Sensitivity and Specificity Humans Machine Learning Algorithms
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Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.

Computers in biology and medicine Apr 28, 2021
Accurate automated medical image recognition, including classification and segmentation, is one of the most challenging tasks in medical image analysis. Recently, deep learning methods have achieved remarkable success in medical image classification ...
Bayes Theorem Uncertainty Neural Networks, Computer Skin Neoplasms Deep Learning Humans
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Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification.

European journal of cancer (Oxford, England : 1990) Apr 7, 2021
BACKGROUND: Clinicians and pathologists traditionally use patient data in addition to clinical examination to support their diagnoses.
Microscopy Sex Factors Image Interpretation, Computer-Assisted Germany Nevus Middle Aged Age Factors Predictive Value of Tests Aged Adult Male Humans Female Melanoma Skin Neoplasms Reproducibility of Results Neural Networks, Computer Databases, Factual Retrospective Studies
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