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Found 5 papers, 0 papers with code
DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans
Gastrointestinal (GI) tract cancers pose a global health challenge, demanding precise radiotherapy planning for optimal treatment outcomes.
Linear Relative Pose Estimation Founded on Pose-only Imaging Geometry
How to efficiently and accurately handle image matching outliers is a critical issue in two-view relative estimation.
Essential Number of Principal Components and Nearly Training-Free Model for Spectral Analysis
Due to the mutual in-dependency among different gas molecules, near one-to-one projection from the principal component to the mixture constituent can be established, leading to a significant simplification of spectral quantification.
Image Retargetability
In this work, we introduce the notion of image retargetability to describe how well a particular image can be handled by content-aware image retargeting.
Unsupervised state representation learning with robotic priors: a robustness benchmark
We reproduce this simplification process using a neural network to build a low dimensional state representation of the world from images acquired by a robot.
