| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2025―Mar―17 |
CDSE-UNet: Enhancing COVID-19 CT Image Segmentation With Canny Edge Detection and Dual-Path SENet Feature Fusion |
Jiao Ding, Jie Chang, Renrui Han, Li Yang, Gallegos Funes Francisco Gallegos-Funes |
| 2 |
[GO] |
2024―May―25 |
COVID-19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier |
Kenan Morani, Esra Kaya Ayana, Dimitrios Kollias, Devrim Unay, Swarbhanu Sarkar |
| 3 |
[GO] |
2022―Dec―22 |
Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques |
Rumana Islam, Mohammed Tarique, Anne Clough |
| 4 |
[GO] |
2021―May―15 |
Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks |
Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, Asaad Shakir Hameed, Modhi Lafta Mutar, Jyh-Cheng Chen |
| 5 |
[GO] |
2020―Oct―08 |
Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases |
Arun Sharma, Sheeba Rani, Dinesh Gupta, Anne Clough |
| 6 |
[GO] |
2020―Aug―19 |
COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings |
Mohd Zulfaezal Che Azemin, Radhiana Hassan, Mohd Izzuddin Mohd Tamrin, Mohd Adli Md Ali |
