[HTML][HTML] Deep learning for cardiac image segmentation: a review
Deep learning has become the most widely used approach for cardiac image segmentation
in recent years. In this paper, we provide a review of over 100 cardiac image segmentation …
in recent years. In this paper, we provide a review of over 100 cardiac image segmentation …
State-of-the-art deep learning in cardiovascular image analysis
Cardiovascular imaging is going to change substantially in the next decade, fueled by the
deep learning revolution. For medical professionals, it is important to keep track of these …
deep learning revolution. For medical professionals, it is important to keep track of these …
Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation
Accurate segmentation of topological tubular structures, such as blood vessels and roads, is
crucial in various fields, ensuring accuracy and efficiency in downstream tasks. However …
crucial in various fields, ensuring accuracy and efficiency in downstream tasks. However …
Blood vessel segmentation algorithms—review of methods, datasets and evaluation metrics
Background Blood vessel segmentation is a topic of high interest in medical image analysis
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …
The multimodal brain tumor image segmentation benchmark (BRATS)
In this paper we report the set-up and results of the Multimodal Brain Tumor Image
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …
[HTML][HTML] Why rankings of biomedical image analysis competitions should be interpreted with care
International challenges have become the standard for validation of biomedical image
analysis methods. Given their scientific impact, it is surprising that a critical analysis of …
analysis methods. Given their scientific impact, it is surprising that a critical analysis of …
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge
Prostate MRI image segmentation has been an area of intense research due to the
increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation …
increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation …
A survey on skeletonization algorithms and their applications
Skeletonization provides an effective and compact representation of objects, which is useful
for object description, retrieval, manipulation, matching, registration, tracking, recognition …
for object description, retrieval, manipulation, matching, registration, tracking, recognition …
elastix: A Toolbox for Intensity-Based Medical Image Registration
Medical image registration is an important task in medical image processing. It refers to the
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks
The amount of coronary artery calcification (CAC) is a strong and independent predictor of
cardiovascular events. CAC is clinically quantified in cardiac calcium scoring CT (CSCT), but …
cardiovascular events. CAC is clinically quantified in cardiac calcium scoring CT (CSCT), but …