MISeval: a Metric Library for Medical Image Segmentation Evaluation [PDF]
arXiv, 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.
D. Müller +5 more
arxiv +3 more sources
Communicating with medical library users during COVID-19. [PDF]
J Med Libr Assoc, 2021 Background: The Harvey Cushing/John Hay Whitney Medical Library serves a community of over 22,000 individuals primarily from the Yale Schools of Medicine, Public Health, and Nursing and the Yale New Haven Hospital. Though they are geographically close to
Haugh D.
europepmc +2 more sources
A health education outreach partnership between an academic medical library and public library: lessons learned before and during a pandemic. [PDF]
J Med Libr Assoc, 2022 Background: Public libraries serve as community centers for accessing free, trustworthy health information. As such, they provide an ideal setting to teach the local community about health and health literacy, particularly during public health crises ...
Swanberg SM +7 more
europepmc +2 more sources
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning [PDF]
Computer Methods and Programs in Biomedicine (June 2021), p.
106236. ISSN: 0169-2607, 2020 Processing of medical images such as MRI or CT presents unique challenges compared to RGB images typically used in computer vision. These include a lack of labels for large datasets, high computational costs, and metadata to describe the physical properties of voxels. Data augmentation is used to artificially increase the size of the training datasets.
Fernando Pérez-García +2 more
arxiv +3 more sources
Medical Library Association Diversity and Inclusion Task Force 2019 Survey Report. [PDF]
J Med Libr Assoc, 2020 Objective: The goal of this survey by the Medical Library Association (MLA) Diversity and Inclusion Task Force was to have a better understanding of the demographics of the association as well as ascertain how the membership feels about MLA's diversity ...
Pionke JJ.
europepmc +2 more sources
Democratic librarianship: the role of the medical library in promoting democracy and social justice. [PDF]
J Med Libr Assoc, 2020 Evidence suggests that Erich Meyerhoff was one of the first practitioners of democratic librarianship throughout his long and productive life. This essay defines democratic librarianship in the context of democratic ideals and social justice and posits ...
Martin ER.
europepmc +2 more sources
The Medical Library Association Data Services Competency: a framework for data science and open science skills development. [PDF]
J Med Libr Assoc, 2020 Increasingly, users of health and biomedical libraries need assistance with challenges they face in working with their own and others’ data. Librarians have a unique opportunity to provide valuable support and assistance in data science and open science ...
Federer L +5 more
europepmc +2 more sources
Improving community well-being through collaborative initiatives at a medical library. [PDF]
J Med Libr Assoc, 2019 Background In an increasingly digital age, the role of the library is changing to better serve its community. The authors’ library serves health care professionals who experience high levels of stress due to everyday demands of work or study, which can ...
Funaro MC, Rojiani R, Norton MJ.
europepmc +2 more sources
medigan: a Python library of pretrained generative models for medical image synthesis [PDF]
Journal of Medical Imaging, 2022 . Purpose Deep learning has shown great promise as the backbone of clinical decision support systems. Synthetic data generated by generative models can enhance the performance and capabilities of data-hungry deep learning models.
Richard Osuala +11 more
semanticscholar +1 more source