Valuable data often go unpublished when they could be helping to progress science. Hence, the BMC Series introduced Data notes, a short article type allowing you to describe your data and publish them to make your data easier to find, cite and share.
Featured article: MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
The increased availability and usage of modern medical imaging induced a strong need for automatic medical image segmentation. In this Software article, Müller & Kramer introduce the open-source Python library MIScnn. The framework enables researchers to rapidly set up a complete medical image segmentation pipeline by using just a few lines of code.
Featured article: COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet
Saood and Hatem investigate two structurally-different deep learning techniques, SegNet and U-NET, for semantically segmenting COVID-19 infected tissue regions in CT lung images. They propose that the computer-based techniques may prove as reliable detectors for infected tissue in lung CT scans.
Featured article: Universal adversarial attacks on deep neural networks for medical image classification
Hirano et al focus on three representative deep neural network-based medical image classification tasks and investigate their vulnerability to the seven model architectures of universal adversarial perturbations.
Aims and scope
Call for Content: AI in Medical Imaging
BMC Medical Imaging welcomes submissions to this new collection focusing on deepening the understanding of artificial intelligence in medical imaging, highlighting its versatility and applications, and breaking down barriers that still exist in the field.
Find more information and explore recent publications here.
Click here to view which Articles have been shared the most this year!
Maria Hodges, BMC series, UK
Kate Gaines, BMC series, USA
Get credit for your data!
BMC Series Focus Issues
Data are the cornerstones to transparency and reproducibility of research. At the BMC Series, we offer different article types to help you share your data. Explore some of our open access data publications in this focus issue and browse through the additional reading and resources to learn more about this topic.
In celebration of World Environment Day on the 5th June, the BMC Series presents a focus issue on Water and Sanitation. We have collated open-access content from across our journals to highlight research into clean water, investigating links between water and health and our overall relationship with water.
BMC Series Blog
Annual Journal Metrics
59 days to first decision for reviewed manuscripts only
39 days to first decision for all manuscripts
141 days from submission to acceptance
17 days from acceptance to publication
132 Altmetric mentions