Image 5_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png by Yihang Wang (4731429)

“…</p>Methods<p>The point cloud data of the upper and lower surfaces of tobacco shred are segmented using the improved three-dimensional point cloud segmentation model based on the PointNet++ network. …”

Image 1_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png by Yihang Wang (4731429)

“…</p>Methods<p>The point cloud data of the upper and lower surfaces of tobacco shred are segmented using the improved three-dimensional point cloud segmentation model based on the PointNet++ network. …”

Image 3_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png by Yihang Wang (4731429)

“…</p>Methods<p>The point cloud data of the upper and lower surfaces of tobacco shred are segmented using the improved three-dimensional point cloud segmentation model based on the PointNet++ network. …”

train.zip by Rui Ma (21434405)

Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms by Connor Lee (22327243)

“…Astrocytes, critical glial cells in the central nervous system, exhibit calcium spikes in response to injury, but manual annotation of imaging data is time-consuming and prone to bias. The study integrates Cellpose 2.0 for automated segmentation of nuclei and cytoplasm with a heuristic A* path-finding algorithm to classify cellular connectivity. …”

Supplementary file 1_Towards standardizing mitral transcatheter edge-to-edge repair with deep-learning algorithm: a comprehensive multi-model strategy.docx by Silvia Corona (22678994)

“…</p>Methods<p>Three deep learning algorithms were developed using echocardiographic data from M-TEER patients performed at Montreal Heart Institute (2018–2025). 1. …”

The need for a more powerful colony counting algorithm. by Sijie Chen (1622476)

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Example of semantic segmentation based on GSV panoramic images. by Jaewon Han (8660295)

Modelling of the study shaft segment from nodes 2, 4 and 6. by Thanh Lam Tran (18125617)

Enhancements to SarcGraph’s z-disc segmentation pipeline. by Saeed Mohammadzadeh (13492285)

Comparison of Algorithm Mechanisms and Experimental Settings Between PSO-KM and Benchmark Models. by Hongwei Yue (574068)

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GBM-Reservoir: Dataset and Segmentations by Naida Solak (20230698)

“…This dataset can be utilized for various tasks, such as developing fully automated segmentation algorithms for new, unseen brain tumor cases, particularly through deep learning-based approaches, since ground truth is provided for each sample.…”

Performance comparison of segmentation methods on the Lucchi++ dataset. by Yubraj Gupta (7465394)

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Performance comparison of segmentation methods on the Kasthuri++ dataset. by Yubraj Gupta (7465394)

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Performance comparison of segmentation methods on the Lucchi dataset. by Yubraj Gupta (7465394)

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Comparison of Delaunay triangulations after assigning data points. by Wei Xingqiong (21492703)

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Overview of the Cell2Spatial algorithm. by Huamei Li (8815955)

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Test set qualitative segmentation performance overview. by Alex J. Allphin (17102503)

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Dataset: "A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR" by Lucas McCullum (16521828)

“…<p dir="ltr">For the paper "A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using Synthetic MR" found at: <a href="https://doi.org/10.1101/2025.01.10.25319895" rel="noreferrer" target="_blank">https://doi.org/10.1101/2025.01.10.25319895</a></p><p dir="ltr">This dataset contains the ground truth segmentations from three expert annotators (v1, v2, v3) for the left parotid, right parotid, left submandibular, and right submandibular gland. …”

Source Code for Comparative Study of Search Trees Implemented in Java by Mohammed Alaa Ala'anzy (21711464)

Subjects: “…Data structures and algorithms…”