DEEP LEARNING APPROACHES FOR CLASSIFICATION TASKS IN MEDICAL X-RAY, MRI, AND ULTRASOUND IMAGES: A SCOPING REVIEW

Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review

Abstract Medical images occupy the largest part of the existing medical information and dealing with them is challenging not only in terms of management but also in terms of interpretation and analysis.Hence, analyzing, understanding, and classifying them, becomes a very expensive and time-consuming task, especially if performed manually.Deep learn

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The Behavior of Earnings Quality in Different Business Cycles Using Panel Smooth Transition Regression (PSTR) Model

This paper investigates the threshold effects of business cycles on Incontinence Pad earnings quality for the period of 2005 to 2015, using Panel Smooth Transition Regression (PSTR) model as one of the most prominent regime-switching models.For this end, accruals quality and earnings smoothing are used as measures of earnings quality, and sales gro

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Dynamic reconstruction in simultaneous localization and mapping based on the segmentation of high variability point zones

Dynamic scene reconstruction in real environments is still an ongoing research challenge; moving Baby Bottles objects affect the performance of static environment-based simultaneous localization and mapping and impede a correct scene reconstruction.This paper proposes a method for dynamic scene reconstruction using sensor fusion for dynamic simulta

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