Бокс в Томском Политехническом университете

Это первая книга о боксе в одном из томских университетов. События, факты, рассказы о боксёрах и их тренерах основаны на документальных материалах, в том числе из архивных источников, воспоминаниях ветеранов и действующих спортсменов. Это знак благодарности и признания боксёрам, тренерам и спортивным организаторам за их нелёгкую, но благодарную работу, за популяризацию бокса. В результате работы получилась содержательная и увлекательная книга, которая вызовет несомненный интерес у читателей, и будет способствовать популяризации такого замечательного вида единоборств как бокс

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges

Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps during the live examination can be challenging due to various factors such as variation of skills and experience among the endoscopists, lack of attentiveness, and fatigue leading to a high polyp miss-rate. Deep learning has emerged as a promising solution to this challenge as it can assist endoscopists in detecting and classifying overlooked polyps and abnormalities in real time. In addition to the algorithm's accuracy, transparency and interpretability are crucial to explaining the whys and hows of the algorithm's prediction. Further, most algorithms are developed in private data, closed source, or proprietary software, and methods lack reproducibility. Therefore, to promote the development of efficient and transparent methods, we have organized the "Medico automatic polyp segmentation (Medico 2020)" and "MedAI: Transparency in Medical Image Segmentation (MedAI 2021)" competitions. We present a comprehensive summary and analyze each contribution, highlight the strength of the best-performing methods, and discuss the possibility of clinical translations of such methods into the clinic. For the transparency task, a multi-disciplinary team, including expert gastroenterologists, accessed each submission and evaluated the team based on open-source practices, failure case analysis, ablation studies, usability and understandability of evaluations to gain a deeper understanding of the models' credibility for clinical deployment. Through the comprehensive analysis of the challenge, we not only highlight the advancements in polyp and surgical instrument segmentation but also encourage qualitative evaluation for building more transparent and understandable AI-based colonoscopy systems

4D treatment planning for scanned ion beams

At Gesellschaft für Schwerionenforschung (GSI) more than 330 patients have been treated with scanned carbon ion beams in a pilot project. To date, only stationary tumors have been treated. In the presence of motion, scanned ion beam therapy is not yet possible because of interplay effects between scanned beam and target motion which can cause severe mis-dosage. We have started a project to treat tumors that are subject to respiratory motion. A prototype beam application system for target tracking with the scanned pencil beam has been developed and commissioned

The Generation R Study: design and cohort update 2010

The Generation R Study is a population-based prospective cohort study from fetal life until young adulthood. The study is designed to identify early environmental and genetic causes of normal and abnormal growth, development and health during fetal life, childhood and adulthood. The study focuses on four primary areas of research: (1) growth and physical development; (2) behavioural and cognitive development; (3) diseases in childhood; and (4) health and healthcare for pregnant women and children. In total, 9,778 mothers with a delivery date from April 2002 until January 2006 were enrolled in the study. General follow-up rates until the age of 4 years exceed 75%. Data collection in mothers, fathers and preschool children included questionnaires, detailed physical and ultrasound examinations, behavioural observations, and biological samples. A genome wide association screen is available in the participating children. Regular detailed hands on assessment are performed from the age of 5 years onwards. Eventually, results forthcoming from the Generation R Study have to contribute to the development of strategies for optimizing health and healthcare for pregnant women and children

The Rotterdam Study: 2012 objectives and design update

The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges

Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps during the live examination can be challenging due to various factors such as variation of skills and experience among the endoscopists, lack of attentiveness, and fatigue leading to a high polyp miss-rate. Therefore, there is a need for an automated system that can flag missed polyps during the examination and improve patient care. Deep learning has emerged as a promising solution to this challenge as it can assist endoscopists in detecting and classifying overlooked polyps and abnormalities in real time, improving the accuracy of diagnosis and enhancing treatment. In addition to the algorithm’s accuracy, transparency and interpretability are crucial to explaining the whys and hows of the algorithm’s prediction. Further, conclusions based on incorrect decisions may be fatal, especially in medicine. Despite these pitfalls, most algorithms are developed in private data, closed source, or proprietary software, and methods lack reproducibility. Therefore, to promote the development of efficient and transparent methods, we have organized the “Medico automatic polyp segmentation (Medico 2020)” and “MedAI: Transparency in Medical Image Segmentation (MedAI 2021)” competitions. The Medico 2020 challenge received submissions from 17 teams, while the MedAI 2021 challenge also gathered submissions from another 17 distinct teams in the following year. We present a comprehensive summary and analyze each contribution, highlight the strength of the best-performing methods, and discuss the possibility of clinical translations of such methods into the clinic. Our analysis revealed that the participants improved dice coefficient metrics from 0.8607 in 2020 to 0.8993 in 2021 despite adding diverse and challenging frames (containing irregular, smaller, sessile, or flat polyps), which are frequently missed during a routine clinical examination. For the instrument segmentation task, the best team obtained a mean Intersection over union metric of 0.9364. For the transparency task, a multi-disciplinary team, including expert gastroenterologists, accessed each submission and evaluated the team based on open-source practices, failure case analysis, ablation studies, usability and understandability of evaluations to gain a deeper understanding of the models’ credibility for clinical deployment. The best team obtained a final transparency score of 21 out of 25. Through the comprehensive analysis of the challenge, we not only highlight the advancements in polyp and surgical instrument segmentation but also encourage subjective evaluation for building more transparent and understandable AI-based colonoscopy systems. Moreover, we discuss the need for multi-center and out-of-distribution testing to address the current limitations of the methods to reduce the cancer burden and improve patient care

Informationssysteme und Datenbanken als Hilfsmittel des Wissenschaftstransfers

Systemen zur technischen Vermittlung von Fachinformationen kommt im Wissenschaftstransfer besondere Bedeutung und Funktion zu. Nachdem die informationswissenschaftlichen Grundlagen fachübergreifender Kommunikationsprozesse erläutert werden, hebt der Artikel die Rolle von Informationsagenturen bei der Lösung fachlicher Probleme in Wissenschaft und Wirtschaft hervor. Die technischen und organisatorischen Entwicklungen der letzten Jahrzehnte im Informatinssektor werden beschrieben und die Bedeutung von Informationsvermittlungsstellen für den Wissenstransfer hervorgehoben. Zuletzt geht der Beitrag auf die Strukturen des weltweit organisierten Datenbankangebotes ein und analysiert die fachspezifische Nutzung und Akzeptanz von Online-Informationen

CIS3/398: Implementation of a Web-Based Electronic Patient Record for Transplant Recipients

INTRODUCTION: While the "Electronic patient record" (EPR) is a frequently quoted term in many areas of healthcare, only few working EPR-systems are available so far. To justify their use, EPRs must be able to store and display all kinds of medical information in a reliable, secure, time-saving, user-friendly way at an affordable price. Fields with patients who are attended to by a large number of medical specialists over a prolonged period of time are best suited to demonstrate the potential benefits of an EPR. The aim of our project was to investigate the feasibility of an EPR based solely on "of-the-shelf"-software and Internet-technology in the field of organ transplantation. METHODS: The EPR-system consists of three main elements: Data-storage facilities, a Web-server and a user-interface. Data are stored either in a relational database (Sybase Adaptive 11.5, Sybase Inc., CA) or in case of pictures (JPEG) and files in application formats (e. g. Word-Documents) on a Windows NT 4.0 Server (Microsoft Corp., WA). The entire communication of all data is handled by a Web-server (IIS 4.0, Microsoft) with an Active Server Pages extension. The database is accessed by ActiveX Data Objects via the ODBC-interface. The only software required on the user's computer is the Internet Explorer 4.01 (Microsoft), during the first use of the EPR, the ActiveX HTML Layout Control is automatically added. The user can access the EPR via Local or Wide Area Network or by dial-up connection. If the EPR is accessed from outside the firewall, all communication is encrypted (SSL 3.0, Netscape Comm. Corp., CA).The speed of the EPR-system was tested with 50 repeated measurements of the duration of two key-functions: 1) Display of all lab results for a given day and patient and 2) automatic composition of a letter containing diagnoses, medication, notes and lab results. For the test a 233 MHz Pentium II Processor with 10 Mbit/s Ethernet connection (ping-time below 10 ms) over 2 hubs to the server (400 MHz Pentium II, 256 MB RAM) was used. RESULTS: So far the EPR-system has been running for eight consecutive months and contains complete records of 673 transplant recipients with an average follow-up of 9.9 (SD :4.9) years and a total of 1.1 million lab values. Instruction to enable new users to perform basic operations took less than two hours in all cases. The average duration of laboratory access was 0.9 (SD:0.5) seconds, the automatic composition of a letter took 6.1 (SD:2.4) seconds. Apart from the database and Windows NT, all other components are available for free. The development of the EPR-system required less than two person-years. CONCLUSION: Implementation of an Electronic patient record that meets the requirements of comprehensiveness, reliability, security, speed, user-friendliness and affordability using a combination of "of-the-shelf" software-products can be feasible, if the current state-of-the-art internet technology is applied