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Chronological changes in etiology, pathological and imaging findings in primary liver cancer from 2001 to 2020.
Jpn J Clin Oncol
January 2025
Department of Pathology, Keio University School of Medicine, Tokyo, Japan.
Purpose: To achieve a historical perspective, the chronological changes in primary liver cancer over a 20-year period were investigated at a single institution, focusing on shifts in etiology and the impact on imaging and pathological findings using The Liver Imaging Reporting and Data System.
Materials And Methods: A retrospective study of surgically resected primary liver cancer in 680 patients from 2001 to 2020 resulted in 434 patients with 482 nodules being analyzed. Dynamic contrast-enhanced computed tomography imaging and the Liver Imaging Reporting and Data System 2018 classification were employed.
Failure Behavior of Nano-Metakaolin Concrete Under Splitting Tension Based on Digital Image Correlation Method.
Polymers (Basel)
December 2024
Institute of Road and Bridge Engineering, Dalian Maritime University, Dalian 116026, China.
Nano metakaolin (NMK) has attracted considerable interest for its potential to improve the durability of cementitious materials. However, the effect of NMK on the splitting tensile performance of concrete has not been systematically investigated. This study investigates the splitting tensile performance of NMK concrete and analyzes its failure behavior under splitting load.
View Article and Find Full Text PDFFlexural Behavior of BFRP Bar-Recycled Tire Steel Fiber-Reinforced Concrete Beams.
Materials (Basel)
December 2024
Urban Construction College, Wuchang Shouyi University, Wuhan 430064, China.
This research advocates for the use of basalt fiber-reinforced polymer (BFRP) bars and recycled tire steel fibers to reinforce concrete beams. Six concrete beams were constructed using different volume contents of recycled tire steel fibers (0, 0.5%, 1.
View Article and Find Full Text PDFReal-Time Emotion Recognition for Improving the Teaching-Learning Process: A Scoping Review.
J Imaging
December 2024
Department of Pedagogy, University Rovira i Virgili, 43007 Tarragona, Spain.
Emotion recognition (ER) is gaining popularity in various fields, including education. The benefits of ER in the classroom for educational purposes, such as improving students' academic performance, are gradually becoming known. Thus, real-time ER is proving to be a valuable tool for teachers as well as for students.
View Article and Find Full Text PDFImproved deep learning-based IVIM parameter estimation via the use of more "realistic" simulated brain data.
Med Phys
December 2024
Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, Fujian, China.
Background: Due to the low signal-to-noise ratio (SNR) and the limited number of b-values, precise parameter estimation of intravoxel incoherent motion (IVIM) imaging remains an open issue to date, especially for brain imaging where the relatively small difference between D and D easily leads to outliers and obvious graininess in estimated results.
Purpose: To propose a synthetic data driven supervised learning method (SDD-IVIM) for improving precision and noise robustness in IVIM parameter estimation without relying on real-world data for neural network training.
Methods: On account of the absence of standard IVIM parametric maps from real-world data, a novel model-based method for generating synthetic human brain IVIM data was introduced.
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