SurfDist: Interpretable Three-Dimensional Instance Segmentation Using Curved Surface Patches

2025-07-11 · Jackson Borchardt, Saul Kato arxiv

We present SurfDist, a convolutional neural network architecture for three-dimensional volumetric instance segmentation. SurfDist enables prediction of instances represented as closed surfaces composed of smooth parametric surface patches, specifically bicubic Bézier triangles. SurfDist is a modification of the popular model architecture StarDist-3D which breaks StarDist-3D's coupling of instance parameterization dimension and instance voxel resolution, and it produces predictions which may be upsampled to arbitrarily high resolutions without introduction of voxelization artifacts. For datasets with blob-shaped instances, common in biomedical imaging, SurfDist can outperform StarDist-3D with more compact instance parameterizations. We detail SurfDist's technical implementation and show one synthetic and one real-world dataset for which it outperforms StarDist-3D. These results demonstrate that interpretable instance surface models can be learned effectively alongside instance membership.

📄 PDF Abstract BibTeX arXiv:2507.08223

Code (0)

등록된 구현이 없습니다.

Tasks

Instance Segmentation

JSMNet Improving Indoor Point Cloud Semantic and Instance Segmentation through Self-Attention and Multiscale

2023-09-14 · Shuochen Xu, Zhenxin Zhang

The semantic understanding of indoor 3D point cloud data is crucial for a range of subsequent applications, including indoor service robots, navigation systems, and digital twin engineering. Global features are crucial f…

Instance Segmentation Segmentation Semantic Segmentation

Panoptic Segmentation

2018-01-03 · CVPR 2019 6 · Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother 외

We propose and study a task we name panoptic segmentation (PS). Panoptic segmentation unifies the typically distinct tasks of semantic segmentation (assign a class label to each pixel) and instance segmentation (detect a…

Image Segmentation Instance Segmentation Panoptic Segmentation Scene Parsing+3

Data Synthesis Improves 3D Myotube Instance Segmentation

2026-04-16 · David Exler, Nils Friederich, Martin Krüger, John Jbeily 외 arxiv

Myotubes are multinucleated muscle fibers serving as key model systems for studying muscle physiology, disease mechanisms, and drug responses. Mechanistic studies and drug screening thereby rely on quantitative morpholog…

Instance Segmentation Domain Adaptation

Root Identification in Minirhizotron Imagery with Multiple Instance Learning

2019-03-07 · Guohao Yu, Alina Zare, Hudanyun Sheng, Roser Matamala 외

In this paper, multiple instance learning (MIL) algorithms to automatically perform root detection and segmentation in minirhizotron imagery using only image-level labels are proposed. Root and soil characteristics vary …

Multiple Instance Learning Segmentation

Mask Encoding for Single Shot Instance Segmentation

2020-03-26 · CVPR 2020 6 · Rufeng Zhang, Zhi Tian, Chunhua Shen, Mingyu You 외

To date, instance segmentation is dominated by twostage methods, as pioneered by Mask R-CNN. In contrast, one-stage alternatives cannot compete with Mask R-CNN in mask AP, mainly due to the difficulty of compactly repres…