Outputs (3)

Deep learning models for the diagnosis and screening of COVID-19: a systematic review. (2022)
Journal Article
SIDDIQUI, S., ARIFEEN, M.A., HOPGOOD, A., GOOD, A., GEGOV, A., HOSSAIN, E., RAHMAN, W., HOSSAIN, S., AL JANNAT, S., FERDOUS, R. and MASUM, S. 2022. Deep learning models for the diagnosis and screening of COVID-19: a systematic review. SN computer science [online], 3(5), article 397. Available from: https://doi.org/10.1007/s42979-022-01326-3

COVID-19, caused by SARS-CoV-2, has been declared as a global pandemic by WHO. Early diagnosis of COVID-19 patients may reduce the impact of coronavirus using modern computational methods like deep learning. Various deep learning models based on CT a... Read More about Deep learning models for the diagnosis and screening of COVID-19: a systematic review..

A comparative study of deep-learning models for COVID-19 diagnosis based on X-ray images. (2022)
Book Chapter
SIDDIQUI, S., HOSSAIN, E., FERDOUS, R., ARIFEEN, M., RAHMAN, W., MASUM, S., HOPGOOD, A., GOOD, A. and GEGOV, A. 2022. A comparative study of deep-learning models for COVID-19 diagnosis based on X-ray images. In Howlett, R.J., Jain, L.C., Littlewood, J.R. and Balas, M.M. (eds.) Smart and sustainable technology for resilient cities and communities. Singapore: Springer [online], pages 163-174. Available from: https://doi.org/10.1007/978-981-16-9101-0_12

Background: The rise of COVID-19 has caused immeasurable loss to public health globally. The world has faced a severe shortage of the gold standard testing kit known as reverse transcription-polymerase chain reaction (RT-PCR). The accuracy of RT-PCR... Read More about A comparative study of deep-learning models for COVID-19 diagnosis based on X-ray images..

A next-generation telemedicine and health advice system.
Presentation / Conference Contribution
SIDDIQUI, S., HOPGOOD, A., GOOD, A., GEGOV, A., HOSSAIN, E., RAHMAN, W., FERDOUS, R., ARIFEEN, M. and KHAN, Z. 2021. A next-generation telemedicine and health advice system. In Yang, X.-S., Sherratt, S., Dey, N. and Joshi, A. (eds.) Proceedings of sixth International congress on information and communication technology, 25-26 February 2021, London, UK. Lecture notes in networks and systems, 236. Singapore: Springer [online], pages 981-989. Available from: https://doi.org/10.1007/978-981-16-2380-6_87

This project aims to create a real-time health advice platform andtelemedicine system that can reach healthcare providers and healthcare deprived people. A pragmatic approach is being used to understand the research problem of this study, which allow... Read More about A next-generation telemedicine and health advice system..