Oct 18, 2022 · Title:RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction ; Comments: 10 pages, 6 figures, journal ; Subjects ...

Jan 2, 2024 · In this study, we extend RibSeg to a comprehensive benchmark for rib labeling and anatomical centerline extraction by adding 1) the 170 ...

In this study, we extend RibSeg to a comprehensive benchmark for rib labeling and anatomical centerline extraction by adding 1) the 170 remaining cases with ...

This work extends their prior dataset (RibSeg) on the binary rib segmentation task to a comprehensive benchmark, named RibSeg v2, and develops a pipeline ...

Oct 18, 2022 · Automatic rib labeling and anatomical centerline extraction are common prerequisites for various clinical applications.

Based on the RibSeg v2 , we develop a pipeline including deep learning-based methods for rib labeling, and a skeletonization-based method for centerline ...

Sep 13, 2023 · RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. With 660 CT scans, RibSeg v2 is now the largest ...

To address these issues, we develop a labeled rib segmentation benchmark, named RibSeg, including 490 CT scans (11,719 individual ribs) from a public dataset.

May 24, 2024 · Ming Li, “Ribseg v2: A large-scale benchmark for rib labeling and anatomical centerline extraction,” 2023. [3] Fabian Isensee, Jens Petersen ...

A labeled rib segmentation benchmark, named RibSeg, is developed, including 490 CT scans (11719 individual ribs) from a public dataset, and a point ...