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 ...
Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...
We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...
A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...
Safety and efficacy of neoadjuvant disitamab vedotin in combination with pertuzumab with or without toripalimab for HER2-positive breast cancer: An open-label phase II trial. This is an ASCO Meeting ...
A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images of ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
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