Latest AI and machine learning research in covid-19 for healthcare professionals.
This paper examines how fragmentation of critical infrastructure impacts the spread of the coronavir...
Coronavirus 2019 (COVID-19) is an extreme acute respiratory syndrome. Early diagnosis and accurate a...
PURPOSE: The purpose of this study was to create a deep learning algorithm to infer the benign or ma...
We present an accurate, fast and efficient method for segmentation and muscle mask propagation in 3D...
We propose weakly supervised training schemes to train end-to-end cell segmentation networks that on...
Despite a high level of sequence identity between cow's, goat's, and sheep's milk (CM, GM, and SM, r...
Deep convolutional neural network (CNN)-assisted classification of images is one of the most discuss...
Currently, sensor-based systems for fire detection are widely used worldwide. Further research has s...
In order to effectively optimize the machine online translation system and improve its translation e...
Volume delineation quality assurance (QA) is particularly important in clinical trial settings where...
PURPOSE: The aim of this study was to establish and evaluate a fully automatic deep learning system ...
Coronavirus disease (COVID-19) spreads from one person to another rapidly. A recently discovered cor...
Recently deep learning has attained a breakthrough in model accuracy for the classification of image...
BACKGROUND AND AIM: Alongside the advancement of various modern treatments, attention has recently b...
COVID-19 is a serious respiratory disease. The ever-increasing number of cases is causing heavier lo...
The 2019 novel severe acute respiratory syndrome coronavirus 2-SARS-CoV2, commonly known as COVID-19...
As the interest in facial detection grows, especially during a pandemic, solutions are sought that w...
We present an interpretable machine learning algorithm called 'eARDS' for predicting ARDS in an ICU ...
Many researchers have recently used the prediction of protein secondary structure (local conformatio...
A new modification of multi-CNN ensemble training is investigated by combining multiloss functions f...
The achievement of the pathologic complete response (pCR) has been considered a metric for the succe...