AIMC Topic: Skin Neoplasms
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Deep learning data augmentation for Raman spectroscopy cancer tissue classification.
Scientific reports
Dec 13, 2021
Recently, Raman Spectroscopy (RS) was demonstrated to be a non-destructive way of cancer diagnosis, due to the uniqueness of RS measurements in revealing molecular biochemical changes between cancerous vs. normal tissues and cells. In order to design...
Deep Learning-Based Transfer Learning for Classification of Skin Cancer.
Sensors (Basel, Switzerland)
Dec 6, 2021
One of the major health concerns for human society is skin cancer. When the pigments producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis is a challenging process for dermatologists as many skin cancer pigment...
Robotic Extended Ultrasound-Guided Distal Pancreatectomy for Pancreatic Metastases from Uveal Melanoma.
Annals of surgical oncology
Nov 27, 2021
BACKGROUND: Isolated pancreatic metastasis from melanoma is extremely uncommon and accounts for approximately only 2% of visceral disseminations of melanoma. Interestingly, pancreatic localizations disproportionately derive from primary ocular melano...
Multi-features extraction based on deep learning for skin lesion classification.
Tissue & cell
Nov 25, 2021
For various forms of skin lesion, many different feature extraction methods have been investigated so far. Indeed, feature extraction is a crucial step in machine learning processes. In general, we can distinct handcrafted and deep learning features....
Artificial Intelligence for Skin Cancer Detection: Scoping Review.
Journal of medical Internet research
Nov 24, 2021
BACKGROUND: Skin cancer is the most common cancer type affecting humans. Traditional skin cancer diagnosis methods are costly, require a professional physician, and take time. Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tool...
A disease network-based deep learning approach for characterizing melanoma.
International journal of cancer
Nov 17, 2021
Multiple types of genomic variations are present in cutaneous melanoma and some of the genomic features may have an impact on the prognosis of the disease. The access to genomics data via public repositories such as The Cancer Genome Atlas (TCGA) all...
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...
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...
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...
[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.
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