AIMC Topic: Skin Neoplasms

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Prognostic Value of Vitamin D Serum Levels in Cutaneous Melanoma.

Actas dermo-sifiliograficas Nov 16, 2021
INTRODUCTION: Vitamin D plays a fundamental role in many metabolic pathways, including those involved in cell proliferation and the immune response. Serum levels of this vitamin have been linked to melanoma risk and prognosis. This study aimed to ass...
Vitamin D Prognosis Retrospective Studies Vitamins Humans Melanoma, Cutaneous Malignant Melanoma Skin Neoplasms
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Characteristics of publicly available skin cancer image datasets: a systematic review.

The Lancet. Digital health Nov 9, 2021
Publicly available skin image datasets are increasingly used to develop machine learning algorithms for skin cancer diagnosis. However, the total number of datasets and their respective content is currently unclear. This systematic review aimed to id...
Skin Neoplasms Dermoscopy Humans Datasets as Topic Machine Learning
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A deep-learning toolkit for visualization and interpretation of segmented medical images.

Cell reports methods Nov 8, 2021
Generalizability of deep-learning (DL) model performance is not well understood and uses anecdotal assumptions for increasing training data to improve segmentation of medical images. We report statistical methods for visual interpretation of DL model...
Deep Learning Humans Algorithms Kidney Prostatic Neoplasms Skin Neoplasms Male
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[Artificial intelligence in ex vivo confocal laser scanning microscopy].

Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete Oct 29, 2021
BACKGROUND: Visual data, such as clinical photographs or pictures from imaging examination methods, such as ex vivo confocal laser scanning microscopy (CLSM), are particularly suitable for machine learning techniques.
Humans Artificial Intelligence Skin Neoplasms Microscopy, Confocal
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Automated Diagnosis and Localization of Melanoma from Skin Histopathology Slides Using Deep Learning: A Multicenter Study.

Journal of healthcare engineering Oct 26, 2021
In traditional hospital systems, diagnosis and localization of melanoma are the critical challenges for pathological analysis, treatment instructions, and prognosis evaluation particularly in skin diseases. In literature, various studies have been re...
ROC Curve Melanoma Skin Neoplasms Deep Learning Humans Neural Networks, Computer
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Classification of Basal Cell Carcinoma in Ex Vivo Confocal Microscopy Images from Freshly Excised Tissues Using a Deep Learning Algorithm.

The Journal of investigative dermatology Oct 23, 2021
Ex vivo confocal microscopy (EVCM) generates digitally colored purple-pink images similar to H&E without time-consuming tissue processing. It can be used during Mohs surgery for rapid detection of basal cell carcinoma (BCC); however, reading EVCM ima...
Deep Learning Microscopy, Confocal Mohs Surgery Humans Skin Neoplasms Carcinoma, Basal Cell
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Detection of malignant melanoma in H&E-stained images using deep learning techniques.

Tissue & cell Sep 29, 2021
Histopathological images are widely used to diagnose diseases including skin cancer. As digital histopathological images are typically of very large size, in the order of several billion pixels, automated identification of all abnormal cell nuclei an...
Staining and Labeling Melanoma, Cutaneous Malignant Eosine Yellowish-(YS) Hematoxylin Cell Nucleus Deep Learning Image Processing, Computer-Assisted Melanoma Skin Neoplasms Neural Networks, Computer Algorithms Humans
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Artificial Intelligence Confirming Treatment Success: The Role of Gender- and Age-Specific Scales in Performance Evaluation.

Plastic and reconstructive surgery Sep 28, 2021
In plastic surgery and cosmetic dermatology, photographic data are an invaluable element of research and clinical practice. Additionally, the use of before and after images is a standard documentation method for procedures, and these images are parti...
Age Factors Humans Pandemics Coronavirus Infections Artificial Intelligence Skin Neoplasms
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Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.

PloS one Sep 22, 2021
Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expectancy, along with new diagnostic tools and treatments for skin cancer, has resulted in unprecedented changes in patient care and has generated a great...
Melanoma Skin Neoplasms Adult Area Under Curve Sensitivity and Specificity Artificial Intelligence Physicians, Primary Care Dermoscopy Female Humans Surveys and Questionnaires Smartphone Male Early Detection of Cancer Diagnosis, Computer-Assisted
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Non-melanoma skin cancer diagnosis: a comparison between dermoscopic and smartphone images by unified visual and sonification deep learning algorithms.

Journal of cancer research and clinical oncology Sep 21, 2021
PURPOSE: Non-melanoma skin cancer (NMSC) is the most frequent keratinocyte-origin skin tumor. It is confirmed that dermoscopy of NMSC confers a diagnostic advantage as compared to visual face-to-face assessment. COVID-19 restrictions diagnostics by t...
COVID-19 Algorithms Skin Neoplasms Humans Artificial Intelligence Smartphone Dermoscopy Deep Learning
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