Large Language Models in Summarizing Radiology Report Impressions for Lung Cancer in Chinese: Evaluation Study by Danqing Hu, Shanyuan Zhang, Qing Liu, Xiaofeng Zhu, Bing Liu

“…Using these reports, we created zero-shot, one-shot, and three-shot prompts with or without complete example reports as inputs to generate impressions. We used both automatic quantitative evaluation metrics and five human evaluation metrics (completeness, correctness, conciseness, verisimilitude, and replaceability) to assess the generated impressions. …”
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The design and application of a drainage bag with flushing function (一种具备冲洗功能的引流袋的设计与应用) by WANG Meiying (王美英), LI Ying (李颖)

“…This paper introduced a utility model, through the set flow control component, quantitative drainage component, automatic liquid discharge component and fixed component, can realize the automatic quantitative discharge of the liquid in the drainage bag, without the need for medical staff to monitor throughout the process, reducing the work intensity of medical staff, and also meeting the usage requirements of patients. …”
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Selection of features for modeling the risk of fatal outcomes in patients after myocardial infarction or unstable angina by D. A. Shvets, S. V. Povetkin

“…The study used 47 quantitative and qualitative (categorical) features. …”
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A Systematic Review on the Applications of <span style="font-variant: small-caps">Uppaal</span> by Iwona Grobelna, Krystian Gajewski, Andrei Karatkevich

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Segmentation of Striatal Brain Structures from High Resolution PET Images by Ricardo J. P. C. Farinha, Ulla Ruotsalainen, Jussi Hirvonen, Lauri Tuominen, Jarmo Hietala, José M. Fonseca, Jussi Tohka

“…Moreover, the putamen could be subdivided into anterior and posterior parts. An automatic method for the extraction of striatal structures from high-resolution PET images allows for inexpensive and reproducible extraction of the quantitative information from these images necessary in brain research and drug development.…”
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Building rooftop extraction from high resolution aerial images using multiscale global perceptron with spatial context refinement by Qinglie Yuan

“…Abstract Building rooftop extraction has been applied in various fields, such as cartography, urban planning, automatic driving, and intelligent city construction. …”
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Assessment of Rock and Stone Decay in Heritage Sites Using Machine Learning by W. Ying, K. Khoshelham, J. Kemp

“…In this research, we propose an automatic decay detection and visualization framework by combining advanced segmentation techniques with 3D reconstruction methods. …”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…In the paper a method of automatical counting the number of cell nuclei in histological images is studied. …”
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Perspective review: Will generative AI make common data models obsolete in future analyses of distributed data networks? by Jeffery L. Painter, Darmendra Ramcharran, Andrew Bate

“…We recommend prioritizing research to assess how GenAI can transform quantitative healthcare data analysis by overcoming current limitations.…”
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Designing a Decision Support System for Prioritizing of Banks’ Branches by Ameneh Khadivar, Zahra Mohammadi

“…The aim of present study is to design a decision support system based on Promethee II method as a complete and comprehensive method and by automatic ranking, despite considering the qualitative and quantitative indices, it is done in by low time and costs with high precision. …”
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Determination of total bacterial count in raw milk by flow cytometry by Dubravka Samaržija, Neven Antunac, Tomislav Pogačić, Sanja Sikora

“…The automatic flow cytometry as routine method for total bacterial count determination of raw ex-farm milk has recently been accepted in Croatia. …”
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An Objective Evaluation Method for Image Restoration by A. Lakshmi, Subrata Rakshit

“…The practical drawback of this quantitative comparison is the requirement for the original image. …”
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Sensitivity analysis of the nonparametric criterion of aircraft flght control system sensors failures detection and isolation by J. V. Bondarenko, E. Yu. Zybin

“…The formula for the automatic evaluation of the float criterion threshold value is given. …”
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Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides. by Maren Høibø, André Pedersen, Vibeke Grotnes Dale, Sissel Marie Berget, Borgny Ytterhus, Cecilia Lindskog, Elisabeth Wik, Lars A Akslen, Ingerid Reinertsen, Erik Smistad, Marit Valla

“…Digital pathology enables automatic analysis of histopathological sections using artificial intelligence. …”
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A systematic evaluation of GPT-4V's multimodal capability for chest X-ray image analysis by Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou

“…This discrepancy suggests the limitations of conventional metrics in assessing the performance of large language models like GPT-4V and the necessity of developing new metrics for automatic quantitative analysis.…”
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Zastosowanie metody Sheparda do szacowania nieruchomości by Rafał Zbyrowski

“…These quantitative methods may be very useful for experts as a fast support. …”
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RESEARCHING OF MEAT AND FAT COLOUR AND MARBLING IN BEEF by A. B. Lisitsyn, I. V. Kozyrev

“…Both automatic and manual measurements of specified parameters were used. …”
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Signal Processing and Feature Extraction in Markerless Telerehabilitation by Silvana G. Dellepiane, Federica Ferraro, Camilla Baffigo, Marina Simonini

“…Statistical analyses involving both healthy subjects and patients revealed key features for remote exercise observation. Automatic feature extraction related to poses and body movements, together with homogeneity within control group sessions, forms the basis for a quantitative parametric model. …”
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MODELING OF POWER SYSTEMS AND TESTING OF RELAY PROTECTION DEVICES IN REAL AND MODEL TIME by I. V. Novash

“…Some quantitative data on the distribution of RTDS in different countries and Russia are presented. …”
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Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network by Ankit Kandpal, Rakesh Kumar Gupta, Anup Singh

“…Quantitative CT perfusion images improve the estimation of the perfusion deficit regions; however, they are limited by a poor signal-to-noise ratio. …”
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