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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.

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Aims and scope

BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.

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.

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Editor

Tamara Hughes, BMC series, UK

Assistant Editor

Kate GainesBMC series, USA

BMC Series Focus Issues

April: Our Changing Environment

In preparation for Earth Day on 22nd April, the BMC Series presents a focus issue on Our Changing Environment, highlighting research from across the journals on climate change, conservation, pollution, and the impact of environmental changes on human health and disease.

March: Rare diseases

With the 28th of February marking World Rare Diseases day, the BMC Series this month looks at highlighting research on the Rare diseases that together affect around 10% of the population. Read the full collection of articles here.

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