Image segmentation

A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment
We present a novel deep learning approach to categorical segmentation of lung CTs of COVID-19 patients. Specifically, we partition the …
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Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos
Convolutional Neural Networks (CNNs) are considered state of the art segmentation methods for biomedical images in general and …
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Microscopy Cell Segmentation Via Convolutional LSTM Networks
Live cell microscopy sequences exhibit complex spatial structures and complicated temporal behaviour, making their analysis a …
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Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri
Image segmentation is often considered a deterministic process with a single ground truth. Nevertheless, in practice, and in …
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Microscopy cell segmentation via adversarial neural networks
We present a novel method for cell segmentation in microscopy images which is inspired by the Generative Adversarial Neural Network …
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Model-dependent uncertainty estimation of medical image segmentation
Segmentation is a prevalent research area in medical imaging analysis. Nevertheless, estimation of the uncertainty margins of the …
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