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Weakly semi-supervised detector-based video classification with temporal context for lung ultrasound
For many challenging medical imaging tasks involving sequences, video-level labels alone
are insufficient to train accurate disease classification models and do not carry information …
are insufficient to train accurate disease classification models and do not carry information …
DUCPS: Deep Unfolding the Cauchy Proximal Splitting Algorithm for B-Lines Quantification in Lung Ultrasound Images
The identification of artefacts, particularly B-lines, in lung ultrasound (LUS), is crucial for
assisting clinical diagnosis, prompting the development of innovative methodologies. While …
assisting clinical diagnosis, prompting the development of innovative methodologies. While …
Dubline: a deep unfolding network for B-line detection in lung ultrasound images
In the context of lung ultrasound, the identification of B-lines, which serve as indicators of
interstitial lung disease and pulmonary edema, holds immense significance in clinical …
interstitial lung disease and pulmonary edema, holds immense significance in clinical …
A Multimodal Approach for Fluid Overload Prediction: Integrating Lung Ultrasound and Clinical Data
Managing fluid balance in dialysis patients is crucial, as improper management can lead to
severe complications. In this paper, we propose a multimodal approach that integrates …
severe complications. In this paper, we propose a multimodal approach that integrates …