Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Khan, Rizwan Ahmed"'
Autor:
Bai, Samita, Nasir, Sidra, Khan, Rizwan Ahmed, Arif, Sheeraz, Meyer, Alexandre, Konik, Hubert
Breast cancer (BC) stands as one of the most common malignancies affecting women worldwide, necessitating advancements in diagnostic methodologies for better clinical outcomes. This article provides a comprehensive exploration of the application of E
Externí odkaz:
http://arxiv.org/abs/2406.00532
The Deep learning (DL) models for diagnosing breast cancer from mammographic images often operate as "black boxes", making it difficult for healthcare professionals to trust and understand their decision-making processes. The study presents an integr
Externí odkaz:
http://arxiv.org/abs/2404.03892
Publikováno v:
IEEE Access 2024
In the past decade, the deployment of deep learning (Artificial Intelligence (AI)) methods has become pervasive across a spectrum of real-world applications, often in safety-critical contexts. This comprehensive research article rigorously investigat
Externí odkaz:
http://arxiv.org/abs/2309.00064
People all over the globe are affected by pneumonia but deaths due to it are highest in Sub-Saharan Asia and South Asia. In recent years, the overall incidence and mortality rate of pneumonia regardless of the utilization of effective vaccines and co
Externí odkaz:
http://arxiv.org/abs/2301.08479
Publikováno v:
Biomedical Signal Processing and Control 2023
Breast cancer is one of the leading causes of death among women across the globe. It is difficult to treat if detected at advanced stages, however, early detection can significantly increase chances of survival and improves lives of millions of women
Externí odkaz:
http://arxiv.org/abs/2206.12815
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part C
Publikováno v:
Computers in Biology and Medicine 2022
In the last decade, researchers working in the domain of computer vision and Artificial Intelligence (AI) have beefed up their efforts to come up with the automated framework that not only detects but also identifies stage of breast cancer. The reaso
Externí odkaz:
http://arxiv.org/abs/2110.00942
Autor:
Shah, Shahid Munir, Khan, Rizwan Ahmed
Publikováno v:
IEEE Access 2020
In present technological era, healthcare providers generate huge amount of clinical data on daily basis. Generated clinical data is stored digitally in the form of Electronic Health Records (EHR) as a central data repository of hospitals. Data contai
Externí odkaz:
http://arxiv.org/abs/2001.09479
Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth. Optical character recognition is a science that enables to translate various types of documents or im
Externí odkaz:
http://arxiv.org/abs/2001.00139
Publikováno v:
In Biomedical Signal Processing and Control September 2023 86 Part C