Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation

Autor: Neha, Fnu, Bansal, Arvind K.

Publikováno v: Proceedings of the 10th World Congress on Electrical Engineering and Computer Systems and Science, Avestia Publishing, ISSN = 2369-811X, 2024

Renal tumors, especially renal cell carcinoma (RCC), show significant heterogeneity, posing challenges for diagnosis using radiology images such as MRI, echocardiograms, and CT scans. U-Net based deep learning techniques are emerging as a promising a

Externí odkaz: http://arxiv.org/abs/2410.15472

Clinical trials landscape in a lower-middleincome country (Pakistan).

Autor: Mumtaz, Hassan, Ali Haider, Syed Muhammad, Neha, Fnu, Saqib, Muhammad, Nadeem, Abdullah, Fahim, Ammad, Allahuddin, Zoha

Publikováno v: Journal of Clinical & Translational Science; 2024, Vol. 8 Issue 1, p1-7, 7p

Comparative efficacy and safety profile of high-power short duration with low power long duration radiofrequency ablation in atrial fibrillation: An updated systematic review and meta-analysis

Autor: Satesh Kumar, Mahima Khatri, Sumeet kumar, Partab FNU, Manoj Kumar FNU, Neha FNU, Suman FNU, Lajpat Rai, Sangam FNU, Simran Kumari, Hamza Islam, Rabia Islam

Background: High power short duration (HPSD) radiofrequency ablation was expected to be more effective and safer than low power long duration (LPLD) in treating atrial fibrillation (AF). Given the limited data, the findings were controversial. This m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::82ed6601b39630f50c0b34159a42cc05
https://doi.org/10.22541/au.167463386.67052130/v1

Comparative Efficacy and Safety Profiles of High-power, Short-duration and Low-power, Long-duration Radiofrequency Ablation in Atrial Fibrillation: A Systematic Review and Meta-analysis.

Autor: Kumar S; Department of Medicine, Shaheed Mohtarma Benazir Bhutto Medical College, Karachi, Pakistan., Khatri M; Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan., Kumar S; Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan., Partab FNU; Department of Medicine, Chandka Medical College, SMBBMU Larkana, Larkana, Pakistan., Manoj Kumar FNU; Department of Medicine, Jinnah Sindh Medical University (JSMU), Karachi, Pakistan., Neha FNU; Department of Medicine, Ghulam Muhammad Mahar Medical College, Sukkur, Pakistan., Suman FNU; Department of Medicine, Chandka Medical College, SMBBMU Larkana, Larkana, Pakistan., Rai L; Department of Medicine, Liaquat University of Medical and Health Science, Jamshoro, Pakistan., Sangam FNU; Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan., Kumari S; Department of Medicine, Chandka Medical College, SMBBMU Larkana, Larkana, Pakistan., Islam H; Department of Medicine, Punjab Medical College, Faisalabad, Pakistan., Islam R; Department of Medicine, Punjab Medical College, Faisalabad, Pakistan., Patel T; Department of Medicine, American University of Antigua, Osbourn, Antigua and Barbuda.

Publikováno v: The Journal of innovations in cardiac rhythm management [J Innov Card Rhythm Manag] 2023 Jul 15; Vol. 14 (7), pp. 5514-5527. Date of Electronic Publication: 2023 Jul 15 (Print Publication: 2023).

Studies from Khyber Medical College in the Area of Artificial Intelligence Described (Artificial intelligence in critical illness and its impact on patient care: a comprehensive review).

Publikováno v: Health & Medicine Week; 5/12/2023, p5637-5637, 1p