A bi-stage feature selection approach for COVID-19 prediction using chest CT images

S Sen, S Saha, S Chatterjee, S Mirjalili, R Sarkar - Applied Intelligence, 2021 - Springer
The rapid spread of coronavirus disease has become an example of the worst disruptive
disasters of the century around the globe. To fight against the spread of this virus, clinical …

Transfer learning–based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data

M Singh, S Bansal, S Ahuja, RK Dubey… - Medical & biological …, 2021 - Springer
The novel discovered disease coronavirus popularly known as COVID-19 is caused due to
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and declared a pandemic …

Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets

N Spolaôr, HD Lee, AI Mendes, CV Nogueira… - Multimedia Tools and …, 2024 - Springer
Convolutional neural networks have been effective in several applications, arising as a
promising supporting tool in a relevant Dermatology problem: skin cancer diagnosis …

An analysis of image features extracted by CNNs to design classification models for COVID-19 and non-COVID-19

AAM Teodoro, DH Silva, M Saadi, OD Okey… - Journal of signal …, 2023 - Springer
The SARS-CoV-2 virus causes a respiratory disease in humans, known as COVID-19. The
confirmatory diagnostic of this disease occurs through the real-time reverse transcription and …

Klasifikasi COVID-19 menggunakan Filter Gabor dan CNN dengan Hyperparameter Tuning

AEKO MINARNO, MHC MANDIRI… - … : Jurnal Teknik Energi …, 2021 - ejurnal.itenas.ac.id
Penyakit COVID-19 dapat timbul karena berbagai faktor sebab dan akibat, sehingga
penyakit ini memiliki efek buruk bagi penderita. Pencitraan CT-Scan memiliki keunggulan …

Classification and segmentation of COVID-19 from chest CT image using deep learning

P Singh, SR Joshi - Journal of Advanced College of Engineering and …, 2024 - nepjol.info
Deep Learning based classification and segmentation of medical imaging data, with special
attention to the COVID-19 virus, is a desperately required application. The lives of millions of …

A sco** review on COVID-19's early detection using deep learning model and computed tomography and ultrasound

AA Bin-Salem, DZ Haider, M Alzubaidi… - Traitement du …, 2022 - search.proquest.com
Since the end of 2019, a COVID-19 outbreak has put healthcare systems worldwide on
edge. In rural areas, where traditional testing is unfeasible, innovative computer-aided …

[PDF][PDF] An Experimental Study for Automatic Detection of COVID-19 from Chest CT Scans. A Comparison through Deep Learning and Support Vector Machine

R Rodriguez, A Leon, L Brito, R Carrasco - 2024 - preprints.org
COVID-19 was a terrible worldwide pandemic that caused a global public health crisis, with
numerous deaths and a severe economic depression. To suppress the spread of COVID-19 …

CLASSIFICATION OF CORONAVIRUS DISEASE (COVID-19) THROUGH CHEST X-RAY IMAGES BASED ON DEEP LEARNING

EA Farhandy, S Wardhana - Jurnal Pilar Nusa Mandiri, 2022 - ejournal.nusamandiri.ac.id
CoV-2 virus this disease is spreading rapidly throughout the world. Various studies were
carried out to control the spread of Covid-19. One way to detect Covid-19 is to study chest X …

[PDF][PDF] RESPIRONET: Leveraging UNET Architecture for Effective COVID-19 Severity Prediction from Pulmonary CT Images

M Ramesh, FJJS Bai - researchgate.net
Covid-19, the most deadly word in recent years which worst hit the entire world, is still
prevailing as a variant of concern. As the transmissibility of the virus is high, a quick and …