Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images by Shihan Chen, Qingsong Yan, Yingjie Qu, Wang Gao, Junxing Yang, Fei Deng

“…Complex terrain and artificial structures, automatic distortion elimination and occluded area recovery in TDOM generation pose significant challenges. …”
Get full text

Optimization of endocrine pancreas fluorescence analysis using machine methods by T. V. Ivanenko, A. V. Abramov

“…To highlight the area of interest for insulin and glucagon in automatic analysis, it is recommended to use the Otsu algorithm. …”
Get full text

Comparison of MIBG uptake in the major salivary glands between Lewy body disease and progressive supranuclear palsy by Junya Ebina, Sunao Mizumura, Mari Shibukawa, Harumi Morioka, Junpei Nagasawa, Masaru Yanagihashi, Takehisa Hirayama, Nobutomo Ishii, Yukio Kobayashi, Akira Inaba, Satoshi Orimo, Osamu Kano

“…We evaluated MIBG uptake in the major salivary glands and heart using a quantitative semi-automatic method. We compared MIBG uptake between PD, DLB, and PSP patients and controls, and we evaluated disease sensitivity and specificity. …”
Get full text

Nanopore-based random genomic sampling for intraoperative molecular diagnosis by Francesco E. Emiliani, Abdol Aziz Ould Ismail, Edward G. Hughes, Gregory J. Tsongalis, George J. Zanazzi, Chun-Chieh Lin

“…This streamlined workflow—from tissue arrival to automatic generation of CNV and methylation reports—can be completed within 105 min. …”
Get full text

Syndrome of system inflammation in the pathogenesis of respiratory syncitial viral infection by I. V. Babachenko, L. A. Alekseeva, A. N. Uskov, T. V. Bessonova, N. S. Tian, N. E. Monakhova, E. V. Makarenkova, S. G. Grigoryev

“…Alpha-1-antitrypsin and alpha-2-macroglobulin were determined in blood serum by quantitative immunoturbidimetry on a biochemical analyzer CLIMA-15 (Spain) using Sentinel test systems (Italy). …”
Get full text

Profiles of survival prediction in glioblastoma by Franziska Loebel, Catalina Vivancos Sánchez, Laura Barrios Alvarez, Martin Misch, Ina Moritz, Mario Taravilla Loma, Cristina Utrilla, Víctor Rodríguez-Domínguez, Alberto Isla Guerrero, Peter Vajkoczy, Maria L. Gandía-González

“…Material and methods: Quantitative volumetric measurements were performed on pre-/postoperative MRI using a 3D-semi-automatic-segmentation-software. …”
Get full text

Business Development Strategy of Beverage Powder Company by M. Zaenal Mahasin, Hartoyo, Rokhani Hasbullah

“…The last priority is addition of horeca sales representatives and procurement of fully automatic machines. Conclusion: To optimize production capacity and market share in the rapidly evolving beverage industry, company focus market penetration through infiltration of market comprises activities of promoting, discount or reduction of price, and comprehensive in distributing product. …”
Get full text

PARTICULAR OF THE BONE METABOLISM IN CHILDREN WITH THE EXTREMITIES’ FRACTURES by T. A. Galiatina, I. M. Ustiantseva, O. I. Khokhlova

“…To reveal the differences between groups concerning quantitative readings the Mann–Whitney and Craskell–Wallace tests were used. …”
Get full text

Transfer learning and single-polarized SAR image preprocessing for oil spill detection by Nataliia Kussul, Yevhenii Salii, Volodymyr Kuzin, Bohdan Yailymov, Andrii Shelestov

“…Qualitative assessment on independent SAR scenes from the Mediterranean Sea demonstrated better detection capabilities, albeit with increased sensitivity to look-alike.We conclude that our proposed preprocessing technique shows promise for enhancing automatic oil spill segmentation from SAR imagery. …”
Get full text

Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale E... by Nanxiang Zhang, Qi Pan, Shuo Yang, Leen Huang, Jianan Yin, Hai Lin, Xiang Huang, Chonglong Ding, Xinyan Zou, Yongjun Zheng, Jinxin Zhang

“…It has prompted us to develop a comprehensive machine learning framework for the automatic quantitative estimation of LVEF levels from electrocardiography (ECG) signals. …”
Get full text

Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases by W. L. Yang, W. L. Yang, X. R. Su, S. Li, K. Y. Zhao, Q. Yue

“…ObjectiveTo develop a machine learning-based clinical and/or radiomics model for predicting the primary site of brain metastases using multiparametric magnetic resonance imaging (MRI).Materials and methodsA total of 202 patients (87 males, 115 females) with 439 brain metastases were retrospectively included, divided into training sets (brain metastases of lung cancer [BMLC] n = 194, brain metastases of breast cancer [BMBC] n = 108, brain metastases of gastrointestinal tumor [BMGiT] n = 48) and test sets (BMLC n = 50, BMBC n = 27, BMGiT n = 12). A total of 3,404 quantitative image features were obtained through semi-automatic segmentation from MRI images (T1WI, T2WI, FLAIR, and T1-CE). …”
Get full text

Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study by Rakhi Asokkumar Subjagouri Nair, Matthias Hartung, Philipp Heinisch, Janik Jaskolski, Cornelius Starke-Knäusel, Susana Veríssimo, David Maria Schmidt, Philipp Cimiano

“…However, current methods rely either on manual analysis and do not scale, or on automatic processing, yielding mainly quantitative insights. …”
Get full text

Improving Aboveground Biomass Estimation in Beech Forests with 3D Tree Crown Parameters Derived from UAV-LS by Nicola Puletti, Simone Innocenti, Matteo Guasti, Cesar Alvites, Carlotta Ferrara

“…In the second phase, we evaluated the potential of UAV-LS for quantifying AGB in a pure European beech (Fagus sylvatica) forest and compared it with traditional ALS estimates, using fully automatic procedures. The two obtained tree-level AGB models were then tested using three datasets derived from 35 sampling plots over the same study area: (a) 1130 trees manually segmented (phase-2 reference); (b) trees automatically extracted from ALS data; and (c) trees automatically extracted from UAV-LS data. …”
Get full text

Feasibility of fetal cardiac function and anatomy assessment by real-time spiral balanced steady-state free precession magnetic resonance imaging at 0.55T by Ye Tian, Jon Detterich, Jay D. Pruetz, Ecrin Yagiz, John C. Wood, Krishna S. Nayak

“…Images were evaluated by a fetal cardiologist. Quantitative measurements of cardiothoracic area ratio and cardiac axis were compared with previous reports. …”
Get full text

Analisis Penerimaan Teknologi Sistem Informasi Manajemen Tugas Menggunakan Model Task Technology Fit (TTF) by Ferdhy Ihza Armanda, Fajar Pradana, Widhy Hayuhardhika Nugraha Putra

“…The purpose of this research is to analyze how the fit between tasks and technology in the task management system affects employee performance. The quantitative method was used in this study with a survey approach, and adapted the Task Technology Fit (TTF) model. …”
Get full text

Analysis of Irrigation, Crop Growth and Physiological Information in Substrate Cultivation Using an Intelligent Weighing System by Jiu Xu, Lili Zhangzhong, Peng Lu, Yihan Wang, Qian Zhao, Youli Li, Lichun Wang

“…The calculated irrigation amount was closely aligned with that determined by an integrated-water–fertilizer automatic control system (R² = 0.923; mean absolute error (MAE) = 0.105 mL; root-mean-square error (RMSE) = 0.132 mL). …”
Get full text

EPIDEMIOLOGICAL RISK FACTORS FOR THE OCCURRENCE OF IRON DEFICIENCY IN CHILDREN AND ADOLESCENTS OF THE KRASNODAR TERRITORY by V. A. Shashel, A. A. Bishenova, E. G. Potyagailo, N. N. Shchegolevataya

“…The main risk factors for social and hygienic reasons can be attributed to an unbalanced diet with a rare intake of meat products, a strict vegetarian, flour, milk, sweet rations, a rare intake of fruits and vegetables, leading to a qualitative and quantitative deficiency of macro- and micronutrients. …”
Get full text

Domain-Adaptive and Per-Fraction Guided Deep Learning Framework for Magnetic Resonance Imaging-Based Segmentation of Organs at Risk in Gynecologic Cancers by Reza Kalantar, PhD, Manasi Ingle, FRCR, Romelie Rieu, BA, BmBCh, Sebastian Curcean, MD, Jessica Mary Winfield, PhD, Gigin Lin, MD, PhD, Christina Messiou, MD, MRCP, FRCR, Susan Lalondrelle, FRCR, Dow-Mu Koh, MD, FRCP, FRCR, Matthew David Blackledge, PhD

“…This study aimed to address this shortcoming by developing a synthetic MRL-assisted deep learning framework to establish a robust baseline for organ at risk segmentation on MRL images and enable domain adaptation for automatic delineations during adaptive RT treatments. …”
Get full text

Curcumin Combined with Aerobic Exercise Improved Liver Function in Rats with Non-alcoholic Fatty Liver Disease by HU Ge, QIN Fei, CAO Jianmin, JI Zhe, ZHOU Qiyun, ZHOU Haitao

“…Serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), total cholesterol (TC), total triglyceride (TG), low-density lipoprotein-cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were detected using an automatic biochemistry analyzer. Changes in hepatic histomorphology, lipid deposition and ultrastructure were detected by hematoxylin-eosin, oil red O, and electronic staining. …”
Get full text

Combination of Graph and Convolutional Networks for Brain Tumor Segmentation from Multi-Modal MR Images In Clinical Applications by Marjan Vatanpour, Javad Haddadnia, Shahryar Salmani Bajestani

“…To solve the problems related to manual segmentation such as time-cost, inaccuracy and subjectivity, automatic segmentation with deep learning methods is presented. …”
Get full text