Compared with the conventional bounding box representation, the proposed bounding circle representation innovates in three-fold: (1) it is optimized for ball-shaped biomedical objects; (2) The circle representation reduced the degree of freedom compared with box representation; (3) It is naturally more rotation ...
Oct 22, 2021 · In this paper, we propose a simple circle representation for medical object detection and introduce CircleNet, an anchor-free detection framework.
Mar 2, 2022 · In this paper, we propose a simple circle representation for medical object detection and intro- duce CircleNet, an anchor-free detection ...
CircleNet: Anchor-free Detection with Circle Representation - GitHub
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We propose a simple circle representation for medical object detection and introduce CircleNet, an anchor-free detection framework.
Mar 18, 2024 · In this study, we introduce CircleSnake, a simple end-to-end segmentation approach that utilizes circle contour deformation for segmenting ball-shaped medical ...
Oct 22, 2024 · CircleNet [13] is a model designed for detecting ball-shaped biomedical objects, such as glomeruli and cell nuclei, the author also proposes the ...
Oct 22, 2021 · Box representation has been extensively used for object detection in computer vision. Such representation is efficacious but not necessarily ...
Circle representation has recently been introduced as a medical imaging optimized representation for more effective instance object detection on ball-shaped ...
Recently, circle representation has become a key method for identifying spherical objects (such as glomeruli, cells, and nuclei) in medical imaging.
30 papers with code • 4 benchmarks • 4 datasets. Medical object detection is the task of identifying medical-based objects within an image.