Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
A FULLY automated deep-learning radiomic biomarker derived from serial CT imaging has demonstrated strong prognostic value for overall survival in patients with advanced non–small cell lung cancer ...
A deep learning model using baseline fundus images accurately predicted myopia and high myopia risk in school-aged children More than half of children without myopia at baseline developed the ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
Abstract: High-temperature superconductors (HTS) demonstrate the potential to significantly benefit the energy and transport sectors by enabling high-current densities in cryogenic environments with ...
A total of 17.9 million people were estimated to be living with rheumatoid arthritis globally in 2021, representing a 13.2% increase in incidence since 1990. The global burden of rheumatoid arthritis ...
According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...
Abstract: In recent years, synthetic aperture radar (SAR) ship recognition based on deep learning has received extensive attention and research. The accuracy and reliability of the recognition model ...
Credit: Getty Images Researchers evaluated whether a deep learning model could distinguish between autoimmune neuroinflammatory disorders based on retinal thickness. A deep learning model, using optic ...
ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...
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