Results 41 to 50 of about 5,902,921 (369)

MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction [PDF]

open access: yes, 2022
Boolean query construction is often critical for medical systematic review literature search. To create an effective Boolean query, systematic review researchers typically spend weeks coming up with effective query terms and combinations. One challenge to creating an effective systematic review Boolean query is the selection of effective MeSH Terms to ...
arxiv   +1 more source

MISeval: a Metric Library for Medical Image Segmentation Evaluation [PDF]

open access: yesarXiv, 2022
Correct performance assessment is crucial for evaluating modern artificial intelligence algorithms in medicine like deep-learning based medical image segmentation models. However, there is no universal metric library in Python for standardized and reproducible evaluation.
arxiv  

Tıp ve Sağlık Bilimleri Kütüphaneciliğinde Ulusal ve Uluslararası Dernek Oluşumları [PDF]

open access: yes, 2006
Medical libraries play important roles in classifying, storing and providing access to medical information. Medical libraries are in steady development ever since 1850’s.
Güneş, Güssün
core   +3 more sources

Current practices in library/informatics instruction in academic libraries serving medical schools in the western United States: a three-phase action research study

open access: yesBMC Medical Education, 2013
To conduct a systematic assessment of library and informatics training at accredited Western U.S. medical schools. To provide a structured description of core practices, detect trends through comparisons across institutions, and to identify innovative ...
J. Eldredge   +3 more
semanticscholar   +1 more source

The study went well. A positive result! Analysis of the satisfaction survey results of medical libraries users

open access: yesForum Bibliotek Medycznych, 2019
Modern academic libraries, including medical libraries, constantly strive to achieve their users’ needs as accurately as possible. Consequently, that is why libraries efficiency is measured by users’ satisfaction rate.
Małgorzata Florianowicz   +3 more
doaj   +1 more source

Critical librarianship in health sciences libraries: an introduction

open access: yesJournal of the Medical Library Association, 2019
The Medical Library Association recently announced its commitment to diversity and inclusion. While this is a positive start, critical librarianship takes the crucial concepts of diversity and inclusion one step further by advocating for social justice ...
Jill Barr-Walker, Claire Sharifi
semanticscholar   +1 more source

Impact of Medical Libraries on Clinical Decision-Making in Pakistan [PDF]

open access: yes, 2021
Medical libraries play a very active role in quenching the information thirst of their users. Library users of medical libraries are life savers.
Jan, Saeed Ullah   +2 more
core   +1 more source

「臺灣地區醫學圖書館館藏暨服務統計共建共享系統」 The Taiwan Area Medical Libraries Joint-Input/Joint-Use Collection and Service Tabulation System [PDF]

open access: yesJiàoyù zīliào yǔ túshūguǎn xué, 1999
無This article introduces the objectives, set-up framework, procedures, functions, statistical information applications, and effectiveness of the Taiwan Area Medical Libraries Joint-Input/Joint-Use Collection and Service Tabulation System.
Huei-chu Chang
doaj  

Volkit: A Performance-Portable Computer Vision Library for 3D Volumetric Data [PDF]

open access: yesarXiv, 2022
We present volkit, an open source library with high performance implementations of image manipulation and computer vision algorithms that focus on 3D volumetric representations. Volkit implements a cross-platform, performance-portable API targeting both CPUs and GPUs that defers data and resource movement and hides them from the application developer ...
arxiv  

MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning [PDF]

open access: yesM\"uller, D., Kramer, F. MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning. BMC Med Imaging 21, 12 (2021), 2019
The increased availability and usage of modern medical imaging induced a strong need for automatic medical image segmentation. Still, current image segmentation platforms do not provide the required functionalities for plain setup of medical image segmentation pipelines.
arxiv   +1 more source

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