Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Saritha Saladi"'
A Review of Shockable Arrhythmia Detection of ECG Signals Using Machine and Deep Learning Techniques
Autor:
Kavya Lakkakula, Karuna Yepuganti, Saritha Saladi, Prakash Allam Jaya, Patro Kiran Kumar, Sahoo Suraj Prakash, Tadeusiewicz Ryszard, Pławiak Paweł
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 34, Iss 3, Pp 485-511 (2024)
An electrocardiogram (ECG) is an essential medical tool for analyzing the functioning of the heart. An arrhythmia is a deviation in the shape of the ECG signal from the normal sinus rhythm. Long-term arrhythmias are the primary sources of cardiac dis
Externí odkaz:
https://doaj.org/article/e20835e72008442cafbb553cab1331a6
Autor:
Ponuku Sarah, Srigiri Krishnapriya, Saritha Saladi, Yepuganti Karuna, Durga Prasad Bavirisetti
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
Introduction: Brain tumors are abnormal cell growths in the brain, posing significant treatment challenges. Accurate early detection using non-invasive methods is crucial for effective treatment. This research focuses on improving the early detection
Externí odkaz:
https://doaj.org/article/4eb62e9c34764308ab2d0a7dd5aee407
Autor:
Saritha Saladi, Yepuganti Karuna, Srinivas Koppu, Gudheti Ramachandra Reddy, Senthilkumar Mohan, Saurav Mallik, Hong Qin
Publikováno v:
Mathematics, Vol 11, Iss 2, p 285 (2023)
MRI scanning has shown significant growth in the detection of brain tumors in the recent decade among various methods such as MRA, X-ray, CT, PET, SPECT, etc. Brain tumor identification requires high exactness because a minor error can be life-threat
Externí odkaz:
https://doaj.org/article/43c8ea40424c4cc1af3c640b05907545
Akademický článek
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Autor:
Ponuku Sarah, Adithya Vardhan Anne, Yepuganti Karuna, Kripa Karthik, Srigiri Krishna Priya, Saritha Saladi
Publikováno v:
2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT).
Publikováno v:
2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT).
Publikováno v:
International Journal of Imaging Systems and Technology. 30:1337-1345
Autor:
Saritha Saladi, N. Amutha Prabha
Publikováno v:
International Journal of Imaging Systems and Technology. 28:207-216
Autor:
Saritha, Saladi1 saladi.saritha2014@vit.ac.in, Amutha Prabha, N.1 amuthaprabha@vit.ac.in
Publikováno v:
International Journal of Imaging Systems & Technology. Dec2016, Vol. 26 Issue 4, p295-304. 10p.
Autor:
Saritha Saladi, N. Amutha Prabha
Publikováno v:
International Journal of Imaging Systems and Technology. 27:201-208
The magnetic resonance imaging (MRI) modality is an effective tool in the diagnosis of the brain. These MR images are introduced with noise during acquisition which reduces the image quality and limits the accuracy in diagnosis. Elimination of noise