[HTML][HTML] Applications and techniques for fast machine learning in science
In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
AA Ardakani, AR Kanafi, UR Acharya… - Computers in biology …, 2020 - Elsevier
Fast diagnostic methods can control and prevent the spread of pandemic diseases like
coronavirus disease 2019 (COVID-19) and assist physicians to better manage patients in …
coronavirus disease 2019 (COVID-19) and assist physicians to better manage patients in …
Machine‐learning‐assisted intelligent imaging flow cytometry: A review
Imaging flow cytometry has been widely adopted in numerous applications such as optical
sensing, environmental monitoring, clinical diagnostics, and precision agriculture. The …
sensing, environmental monitoring, clinical diagnostics, and precision agriculture. The …
Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images
Purpose Confronting the pandemic of COVID-19 is nowadays one of the most prominent
challenges of the human species. A key factor in slowing down the virus propagation is the …
challenges of the human species. A key factor in slowing down the virus propagation is the …
Deep learning for diagnosis of COVID-19 using 3D CT scans
S Serte, H Demirel - Computers in biology and medicine, 2021 - Elsevier
A new pneumonia-type coronavirus, COVID-19, recently emerged in Wuhan, China. COVID-
19 has subsequently infected many people and caused many deaths worldwide. Isolating …
19 has subsequently infected many people and caused many deaths worldwide. Isolating …
Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies
M Walmsley, C Lintott, T Géron, S Kruk… - Monthly Notices of …, 2022 - academic.oup.com
ABSTRACT We present Galaxy Zoo DECaLS: detailed visual morphological classifications
for Dark Energy Camera Legacy Survey images of galaxies within the SDSS DR8 footprint …
for Dark Energy Camera Legacy Survey images of galaxies within the SDSS DR8 footprint …
A lightweight encoder–decoder network for automatic pavement crack detection
Cracks are the most common damage type on the pavement surface. Usually, pavement
cracks, especially small cracks, are difficult to be accurately identified due to background …
cracks, especially small cracks, are difficult to be accurately identified due to background …
The effectiveness of image augmentation in deep learning networks for detecting COVID-19: A geometric transformation perspective
Chest X-ray imaging technology used for the early detection and screening of COVID-19
pneumonia is both accessible worldwide and affordable compared to other non-invasive …
pneumonia is both accessible worldwide and affordable compared to other non-invasive …
[HTML][HTML] Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans
COVID pandemic across the world and the emergence of new variants have intensified the
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …
Covid-net ct-2: Enhanced deep neural networks for detection of covid-19 from chest ct images through bigger, more diverse learning
The COVID-19 pandemic continues to rage on, with multiple waves causing substantial
harm to health and economies around the world. Motivated by the use of computed …
harm to health and economies around the world. Motivated by the use of computed …