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All Journal Startupreneur Business Digital (SABDA Journal) International Transactions on Artificial Intelligence (ITALIC)
Alwiyah Alwiyah
University of Wiraraja
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science

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A Comprehensive Survey of Machine Learning Applications in Medical Image Analysis for Artificial Vision Alwiyah Alwiyah; Widhy Setyowati
International Transactions on Artificial Intelligence Vol. 2 No. 1 (2023): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v2i1.438

Abstract

This study presents a thorough survey of the applications of machine learning in medical image analysis for artificial vision,aiming to offer a comprehensive understanding of the evolving intersection between machine learning and medical imaging.With the rapid advancement of artificial vision technologies, the integration of machine learning algorithms has becomepivotal in revolutionizing medical image analysis. The survey explores a diverse range of machine learning applicationswithin the medical imaging domain, encompassing techniques such as convolutional neural networks (CNNs), support vectormachines, and decision trees. The focus lies in elucidating the role of machine learning in enhancing the accuracy, efficiency,and diagnostic capabilities of medical image analysis systems. Key topics addressed in the survey include image segmentation, classification, and detection, with a specific emphasis on applications in radiology, pathology, and ophthalmology. Additionally, the survey discusses challenges and opportunities in the integration of machine learning into medical image analysis, providing insights into current trends and future directions. This comprehensive survey serves as a valuable resource for researchers, practitioners, and healthcare professionals seeking an in-depth overview of the diverse applications and evolving landscape of machine learning in medical image analysis for artificial vision.
The Role of Innovation in the Success of Modern Startupreneurs Alwiyah Alwiyah; Naomi Lyraa
Startupreneur Business Digital (SABDA Journal) Vol. 3 No. 2 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v3i2.602

Abstract

The study examines Innovation Capability, Team Creativity, External Environ- ment, and Start-up Performance as key research factors, the study attempts to investigate the impact of innovation in the success of contemporary businesses. Innovation Capability, Team Creativity, External Environment, and Start-up Per- formance are the research factors that were examined. (Start-up Function). Through surveys of start-ups in a variety of industry sectors, the data was gath- ered. The analysis’s findings demonstrate that a start-up’s performance is sig- nificantly impacted by its capacity for innovation. It has also been discovered that team creativity is crucial for enhancing innovation and startup performance. The creativity driving innovation is significantly enhanced by frequent brain- storming sessions and diverse team backgrounds, the diversity of backgrounds within the team, and the degree of team collaboration. Furthermore, govern- mental regulations, technological accessibility, and cooperative networks with academic institutions are examples of the external environment that fosters cre- ativity and improves start-up performance.The study’s conclusions highlight the importance of innovation in the success of contemporary startupreneurs. Sup- porting innovation and enhancing business performance also heavily depends on the inventiveness of the team and a favorable external environment. Therefore, strategic measures to success in contemporary entrepreneurship include devel- oping an ecosystem that fosters invention, managing team dynamics skillfully, and establishing an organizational culture that values creativity
Co-Authors Naomi Lyraa Widhy Setyowati