… a comparison analysis among suggested method and other … a sensitivity analysis on the
result captured by the IoT system to … machine learning methods [24], [25]. 2) To extend the …

… treatment plans for patients. This review describes clinical perspectives and discusses the
statistical methods… and high capacity of computation will integrate, analyze, and store WSI data …

… effective treatment planning, underpinning precision medicine. … The representation of solid
tissues and masses, ie tumors, … in transfer learning methods and computational efficiency [265]…

… research methods, professional practices, or medical treatment … In the context of medical
imaging, both of these general … visualization or to facilitate further analysis for either clinical or …

… The methodology not only included a library of models and … process for data collection,
annotation, testing, user interaction design, and clinical deployment. Based on this methodology, …

… , data storage and cloud computing, data mining techniques and machine learning algorithms
have resulted in the ability to easily acquire, analyze and store large amounts of data from …

… However, providing the correct in-time treatment plan for … and data intensive computational
and simulated analysis (8). … healthcare data analytics process; provide features to manage, …

… ANN is a computational model structure that has some … imaging methods, and it is a
powerful tool for mass screening [… a critical role in treatment planning. Radiomics was defined …

… , scientific research in a structured form and characteristics of mass/… helpful in developing
personalized treatment plans [66]. … method exhibits low time complexity and high computing …

… with population-based computational techniques, such as … Patient-specific computational
models provide a framework … and provides a platform to test multiple therapies and determine …