| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2023―Dec―05 |
Cutting-edge multi-task model: unveiling COVID-19 through fusion of image processing algorithms |
Shirin Kordnoori, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi |
| 2 |
[GO] |
2023―Oct―11 |
Analysis of generalizability on predicting COVID-19 from chest X-ray images using pre-trained deep models |
Natalia de Sousa Freire, Pedro Paulo de Souza Leo, Leonardo Albuquerque Tiago, Alberto de Almeida Campos Gonalves, Rafael Albuquerque Pinto, Eulanda Miranda dos Santos, Eduardo Souto |
| 3 |
[GO] |
2023―Aug―23 |
Hybrid feature extraction technique for automatic classification of COVID-19 chest CT images |
Shaowei Wang, Qizhi Fu, Wenna Chen, Jincan Zhang, Ganqin Du, Hongwei Jiang, et al. (+2) Jinghua Li, Xin Zhao |
| 4 |
[GO] |
2023―Aug―20 |
War Snake Optimisation Algorithm with deep Q-Net for COVID-19 classification |
G. Venkata Rami Reddy, Abboju Niranjan |
| 5 |
[GO] |
2023―Aug―09 |
A novel hybrid heuristic adopted ensemble of deep learning models for COVID-19 detection framework using CT and X-Ray images |
C Mary Shiba, M. Navaneethakrishnan, V Kalaipriya, E Jothi, S. Gowsalya |
| 6 |
[GO] |
2023―Jun―14 |
Identification of COVID-19 using chest X-Ray images |
Vijaya Patnaik, Monalisa Mohanty, Asit Kumar Subudhi |
| 7 |
[GO] |
2023―Jun―08 |
A systematic analysis and review of COVID-19 detection techniques using CT image |
J. Ameera Beegom, T. Brindha |
| 8 |
[GO] |
2023―Jun―05 |
Detection and classification of COVID-19 disease using SWHO-based deep neural network classifier |
Vanshika Rastogi, Ajit Kumar Jain |
| 9 |
[GO] |
2023―Jun―02 |
Deep learning-based automated COVID-19 classification from computed tomography images |
Kenan Morani, D. Unay |
| 10 |
[GO] |
2023―Mar―21 |
Diagnosis and detection of COVID-19 infection on X-Ray and CT scans using deep learning based generative adversarial network |
Deepa s |
| 11 |
[GO] |
2022―Nov―20 |
Competitive verse water wave optimisation enabled COVID-Net for COVID-19 detection from chest X-ray images |
Priyanka Shivaprasad More, Baljit Singh Saini |
| 12 |
[GO] |
2022―Nov―14 |
A detailed review of contrast-enhanced fluorescence magnetic resonance imaging techniques for earlier prediction and easy detection of COVID-19 |
T. Lurthu Pushparaj, E. Fantin Irudaya Raj, E. Francy Irudaya Rani |
| 13 |
[GO] |
2022―Sep―08 |
An efficient stacked ensemble model for the detection of COVID-19 and skin cancer using fused feature of transfer learning and handcrafted methods |
B.H. Shekar, Habtu Hailu |
| 14 |
[GO] |
2022―Aug―31 |
Classifying the lung images for people infected with COVID-19 based on the extracted feature interval |
Hieu Huynh-Van, Tuan Le-Hoang, Trong Thai-Minh, Huy Nguyen-Dinh, Tai Vo-Van |
| 15 |
[GO] |
2022―Aug―20 |
A deep learning computational approach for the classification of COVID-19 virus |
Rajarajeswari Perepi, Santhi K, Pratik Chattopadhyay, Anwar Bég O |
| 16 |
[GO] |
2022―Jul―15 |
A deep learning approach with Bayesian optimized Kernel support vector machine for Covid-19 diagnosis |
Nivea Kesav, Jibukumar M.G |
| 17 |
[GO] |
2022―Apr―05 |
Hybrid Particle Swarm Optimized and Fuzzy C Means Clustering based segmentation technique for investigation of COVID-19 infected chest CT |
Bhawna Dhruv, Neetu Mittal, Megha Modi |
| 18 |
[GO] |
2022―Mar―21 |
Performance evaluation of CNN architectures for COVID-19 detection from X-ray images |
Khalid Hussain, Suhaib Ajaz Khan, Mehreen Muzaffar, Zaynab Rashid Khan, Sheikh Umar Farooq |
| 19 |
[GO] |
2022―Jan―24 |
An efficient COVID-19 detection from CT images using ensemble support vector machine with Ludo game-based swarm optimisation |
Shiny Irene D, J. Rene Beulah, Anitha K., Kannan K. |
| 20 |
[GO] |
2021―Oct―29 |
A novel approach for detection of coronavirus disease from computed tomography scan images using the pivot distribution count method |
Abadhan Ranganath, Pradip Kumar Sahu, Manas Ranjan Senapati |
| 21 |
[GO] |
2021―Feb―22 |
A novel method for detection of COVID-19 cases using deep residual neural network |
Ali Noshad, Parham Arjomand, Ahmadreza Khonaksar, Pooya Iranpour |
