Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Donthi Sankalpa"'
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 6, Pp 61-67 (2025)
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The quality of
Externí odkaz:
https://doaj.org/article/ddad1394bddd45e483b6c9ae53df6eea
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4022 (2024)
Pandemics can result in large morbidity and mortality rates that can cause significant adverse effects on the social and economic situations of communities. Monitoring and predicting the spread of pandemics helps the concerned authorities manage the
Externí odkaz:
https://doaj.org/article/36b7b3fc81b64a4e8476e8b47680b485
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4316 (2024)
In recent times, transformer-based deep learning models have risen in prominence in the field of machine learning for a variety of tasks such as computer vision and text generation. Given this increased interest, a historical outlook at the developme
Externí odkaz:
https://doaj.org/article/e1a5f34c72eb4aedbb2d7a510596d3c4
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4694 (2022)
The advent of the COVID-19 pandemic has resulted in medical resources being stretched to their limits. Chest X-rays are one method of diagnosing COVID-19; they are used due to their high efficacy. However, detecting COVID-19 manually by using these i
Externí odkaz:
https://doaj.org/article/1853f891bbf74fbb8ac44d00b1af1eb2
Publikováno v:
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).
Publikováno v:
2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT).
Publikováno v:
2022 International Symposium on Networks, Computers and Communications (ISNCC).
Publikováno v:
2020 International Conference on Computing, Electronics & Communications Engineering (iCCECE).
This paper proposes a mobile application that uses a mobile phone camera attached to an enhanced lens to capture images of any suspicious portrusions on the body (e.g. mole) and be able to predict whether it is melanoma using image processing and mac