Application Of Artificial Intelligence In Early Detection Of Lung Cancer
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Application of Artificial Intelligence in Early Detection of Lung Cancer
Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered an early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients' outcome and decrease the lethal rate of such disease. The book discusses topics such as basics of lung cancer imaging, pattern recognition techniques, deep learning, and nodule detection and localization. In addition, the book discusses risk prediction based on radiological analysis and 3D modeling.This is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer. - Provides an overview of the latest developments of artificial intelligence technologies applied to the detection of pulmonary nodules - Discusses the different technologies available and guides readers step-by-step to the most applicable one for the specific lung cancer type - Describes the entire study design on prediction of lung cancer to help readers apply it to their research successfully
Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Author: Suman Kumar Swarnkar
language: en
Publisher: Springer Nature
Release Date: 2025-07-23
This open access volume presents select proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025). It covers AI fundamentals, machine learning, deep learning, NLP, computer vision, robotics, and ethical AI. Key application areas include healthcare, industry automation, smart cities, agriculture, education, cybersecurity, and business.
Applications of Artificial Intelligence in 5G and Internet of Things
This is the proceedings of the 1st International Conference on Applications of AI in 5G and IoT (ICAAI5GI2024). It brings together ground-breaking research and practical insights into integrating Artificial Intelligence within 5G and the Internet of Things (IoT). This compilation highlights the latest advancements and innovative solutions emerging at the intersection of AI, 5G, and IoT technologies. It also delves into a wide array of topics, including the role of AI in enhancing 5G network efficiency, the development of intelligent IoT devices, and the creation of smart environments powered by these cutting-edge technologies. It further showcases key findings on AI-driven applications in 5G for seamless communication, improved connectivity, and advanced data processing techniques, along with IoT solutions for smart cities, industrial automation, healthcare, and beyond. It would be a valuable read for researchers, engineers, and professionals in AI, 5G, IoT, and related fields. It serves as an essential resource for those seeking to stay at the forefront of technological advancements in these rapidly evolving domains.