AIMC Topic: Skin Neoplasms
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A Two-Stage End-to-End Deep Learning Framework for Pathologic Examination in Skin Tumor Diagnosis.
The American journal of pathology
Mar 2, 2023
Neurofibromas (NFs), Bowen disease (BD), and seborrheic keratosis (SK) are common skin tumors. Pathologic examination is the gold standard for diagnosis of these tumors. Current pathologic diagnosis is primarily based on microscopic observation, whic...
Gene-environment interaction analysis via deep learning.
Genetic epidemiology
Feb 19, 2023
Gene-environment (G-E) interaction analysis plays an important role in studying complex diseases. Extensive methodological research has been conducted on G-E interaction analysis, and the existing methods are mostly based on regression techniques. In...
A deep-learning algorithm to localize basal cell carcinoma foci on Mohs surgery frozen sections.
Journal of the European Academy of Dermatology and Venereology : JEADV
Jan 24, 2023
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare.
Neural networks : the official journal of the International Neural Network Society
Jan 24, 2023
BACKGROUND: The idea of smart healthcare has gradually gained attention as a result of the information technology industry's rapid development. Smart healthcare uses next-generation technologies i.e., artificial intelligence (AI) and Internet of Thin...
Cross-convolutional transformer for automated multi-organs segmentation in a variety of medical images.
Physics in medicine and biology
Jan 23, 2023
It is a huge challenge for multi-organs segmentation in various medical images based on a consistent algorithm with the development of deep learning methods. We therefore develop a deep learning method based on cross-convolutional transformer for the...
Deep learning as a new tool in the diagnosis of mycosis fungoides.
Archives of dermatological research
Dec 26, 2022
Mycosis Fungoides (MF) makes up the most of the cutaneous lymphomas. As a malignant disease, the greatest diagnostical challenge is to timely differentiate MF from inflammatory diseases. Contemporary computational methods successfully identify cell n...
A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients.
Scientific reports
Nov 27, 2022
The application of deep learning on whole-slide histological images (WSIs) can reveal insights for clinical and basic tumor science investigations. Finding quantitative imaging biomarkers from WSIs directly for the prediction of disease-free survival...
Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer.
Medical image analysis
Nov 24, 2022
Although deep learning (DL) has demonstrated impressive diagnostic performance for a variety of computational pathology tasks, this performance often markedly deteriorates on whole slide images (WSI) generated at external test sites. This phenomenon ...
Viscoelasticity assessment of tumoral skin with the use of a novel contact-free palpation methodology based upon surface waves.
Scientific reports
Nov 4, 2022
The ensuing pilot investigation sheds new light on characterizing tumoral and non-tumoral human skin mechanical properties that will not only assist the dermatologist's diagnosis but also could constitute the creation of an Artificial Intelligence da...
SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability.
PloS one
Oct 31, 2022
Skin cancer is considered to be the most common human malignancy. Around 5 million new cases of skin cancer are recorded in the United States annually. Early identification and evaluation of skin lesions are of great clinical significance, but the di...
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