Jun 30, 2021 · A deep learning-based monocular depth estimation (MDE) technique is proposed for selection of most informative frames (key frames) of an endoscopic video.

Nov 19, 2021 · In this article, a deep learning-based monocular depth estimation (MDE) technique is proposed to select the most informative frames (key-frames ...

A deep learning-based monocular depth estimation (MDE) technique is proposed for selection of most informative frames (key frames) of an endoscopic video by ...

In this view, a key-frame selection strategy is proposed by utilizing the depth information of polyps.

A deep learning-based monocular depth estimation (MDE) technique is proposed for selection of most informative frames (key frames) of an endoscopic video.

Apr 11, 2022 · This paper proposes a multi-loss rebalancing-based method for joint estimation of depth and motion from a monocular endoscopy image sequence.

Our approach leverages recent advances in self-supervised depth networks to generate pseudo- RGBD frames, then tracks the camera pose using photometric ...

We investigated feature extraction techniques that captures pathological information of the sequence of frames and the most effective method to project the high ...

This paper presents Endo-Depth-and-Motion, a pipeline that estimates the 6-degrees-of-freedom camera pose and dense 3D scene models from monocular ...

This paper proposes a novel multi-scale residual fusion method for estimating the depth of monocular endoscopy images.