A Light CNN for detecting COVID-19 from CT scans of the chest

Highlights • A light CNN for efficient detection of COVID-19 from chest CT scans is proposed.• The accuracy is comparable with that of more complex CNN designs.• The efficiency is 10 times better than more complex CNNs using pre-processing.• No GPU acceleration is required and can be executed on middle class computers.

eess.IV cs.CV cs.LG Medicine Computer Science Engineering

View graph Source

Paper

Similar papers

A convolutional neural network-based COVID-19 detection method using chest CT imagesYi Cao, Chen Zhang, Cheng Peng et al.2022 · Annals of Translational Medicine · 8 citations In Library

An Efficient Method for Covid-19 Detection Using Light Weight Convolutional Neural NetworkSaddam Bekhet, Monagi H. Alkinani, Reinel Tabares-Soto et al.2021 · Computers Materials & Continua · 18 citations In Library

A Lightweight CNN Based on Transfer Learning for COVID-19 DiagnosisXiaorui Zhang, Jie Zhou, Wei Sun et al.2022 · Computers, Materials & Continua · 36 citations In Library

Efficient Deep Neural Network for an Automated Detection of COVID-19 using CT images*Mohamed Chetoui, M. Akhloufi2021 · IEEE International Conference on Systems, Man and Cybernetics · 2 citations In Library

Convolutional Neural Network (CNN) in COVID-19 Detection: A Case Study with Chest CT Scan ImagesKhan Hafiz, Khandaker Foysal Haque2022 · 2022 IEEE Region 10 Symposium (TENSYMP) · 2 citations In Library

An Efficient Deep Learning Method for Detection of COVID-19 Infection Using Chest X-ray ImagesSoumyabrata Nayak, Deepak Ranjan Nayak, Utkarsh Sinha et al.2022 · Diagnostics · 33 citations In Library

A Lightweight Depthwise Separable Convolution Neural Network for Screening Covid-19 Infection from Chest CT and X-ray ImagesMalliga Subramanian, Sathishkumar V E, C. Ramya et al.2022 · International Conference on Distributed Computing in Sensor Systems · 3 citations In Library

COVID-19 detection using lightweight CNN architecture on chest X-ray imagesSanjan Mahjabin Farin, Md. Sazzadul, Islam Prottasha et al.2023 · 2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC) · 1 citation In Library

Fine Tuning CNN for COVID-19 Patterns Detection From Chest RadiographsAnju Jain, S. Ratnoo, Dinesh Kumar2022 · International Journal of Reliable and Quality E-Healthcare · 0 citations In Library

Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CTA. Garg, Salehi, M. Rocca et al.2020 · Expert systems with applications · 48 citations In Library

Source of record

arXiv

44B

Welcome.

This panel sticks with you. Pick anything below and it opens right beside it, so you can dig through 60,000-plus records without ever losing your spot here.

Travel 44B

LibraryPapers, policy, standards, statute LabsEvery organization building AI ModelsIntelligence, price, and speed BenchmarksThe evaluation catalog IncidentsAI failures and harms SearchOne field across everything DashboardThe state of AI accountability in NY 44B RegistryThe Art. 44-B compliance portal