Publications by authors named "Ahmad Rasdan Ismail"
Cervical Net: A Novel Cervical Cancer Classification Using Feature Fusion.
Bioengineering (Basel)
October 2022
Cervical cancer, a common chronic disease, is one of the most prevalent and curable cancers among women. Pap smear images are a popular technique for screening cervical cancer. This study proposes a computer-aided diagnosis for cervical cancer utilizing the novel Cervical Net deep learning (DL) structures and feature fusion with Shuffle Net structural features.
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- This review focuses on standardized pen-and-paper methods for evaluating ergonomics risk factors.
- The authors aim to analyze existing observational methods, understand their risk levels, and identify associated health effects.
- The findings highlight the strengths and weaknesses of these methods, suggesting a need for new approaches to better assess postural issues in the workplace.
Background: Prolonged standing has been hypothesized as a vital contributor to discomfort and muscle fatigue in the workplace. The objective of this study was to develop a decision support system that could provide systematic analysis and solutions to minimize the discomfort and muscle fatigue associated with prolonged standing.
Methods: The integration of object-oriented programming and a Model Oriented Simultaneous Engineering System were used to design the architecture of the decision support system.