Video 1_Real-time segmentation and phenotypic analysis of rice seeds using YOLOv11-LA and RiceLCNN.mp4 by Dejia Zhang (18526510)

“…The system demonstrated high accuracy in measuring phenotypic features such as seed size and roundness, with measurement errors kept within 0.1 millimeters. The DeepSORT algorithm effectively managed multi-object tracking, reducing duplicate identifications and frame loss in real-time.…”

Video 2_Real-time segmentation and phenotypic analysis of rice seeds using YOLOv11-LA and RiceLCNN.mp4 by Dejia Zhang (18526510)

“…The system demonstrated high accuracy in measuring phenotypic features such as seed size and roundness, with measurement errors kept within 0.1 millimeters. The DeepSORT algorithm effectively managed multi-object tracking, reducing duplicate identifications and frame loss in real-time.…”

Automated matching and visualisation of magnetic flux leakage data in shale gas pipeline based on ICP and DBSCAN algorithm by Leyao Gu (17897654)

Infants’ gaze-arrival times. by Johanna K. Theuer (19942849)

Confusion matrix. by Zahoor Jan (20077515)

“…The paper describes a new approach to WBC segmentation using UNet++, the marker watershed algorithm, and Neural Ordinary Differential Equations (ODE). …”

Generic structure of ResNet. by Zahoor Jan (20077515)

“…The paper describes a new approach to WBC segmentation using UNet++, the marker watershed algorithm, and Neural Ordinary Differential Equations (ODE). …”

Types of White Blood Cell. by Zahoor Jan (20077515)

“…The paper describes a new approach to WBC segmentation using UNet++, the marker watershed algorithm, and Neural Ordinary Differential Equations (ODE). …”

The Proposed Framework. by Zahoor Jan (20077515)

“…The paper describes a new approach to WBC segmentation using UNet++, the marker watershed algorithm, and Neural Ordinary Differential Equations (ODE). …”

Architecture of the proposed technique. by Zahoor Jan (20077515)

“…The paper describes a new approach to WBC segmentation using UNet++, the marker watershed algorithm, and Neural Ordinary Differential Equations (ODE). …”

Residual block structure. by Zahoor Jan (20077515)

“…The paper describes a new approach to WBC segmentation using UNet++, the marker watershed algorithm, and Neural Ordinary Differential Equations (ODE). …”

Normal Red and White Blood Cell. by Zahoor Jan (20077515)

“…The paper describes a new approach to WBC segmentation using UNet++, the marker watershed algorithm, and Neural Ordinary Differential Equations (ODE). …”

ODE block Structure. by Zahoor Jan (20077515)

“…The paper describes a new approach to WBC segmentation using UNet++, the marker watershed algorithm, and Neural Ordinary Differential Equations (ODE). …”

Evaluation of spatial transcriptomics (ST) tools across various metrics and conditions. by Huamei Li (8815955)

Assessment of multiple parameters for Cell2Spatial performance and assignment strategy. by Huamei Li (8815955)

Synthetic data generation and performance evaluation for spatial transcriptomics (ST) mapping tools. by Huamei Li (8815955)

Supplementary file 1_Deep learning-based automated quantification system for abdominal aortic calcification: multicenter cohort study for algorithm development and clinical validat... by Zhenhong Shao (22465513)

Comparison of number of inertial measurement units for sway estimation. by Liam H. Foulger (20552939)

State-of-the-Art Skin Disease Classification Using Ensemble Learning and Advanced Image Processing by Nirupama (22148684)

“…The Crayfish Optimization Algorithm with a Reverse Wheel Strategy is applied for an effective feature segmentation, where the most relevant features are segmented. …”

Fitting of spheres to the anterior surface of the vertebrae. by Samuele Luca Gould (21581327)

Pose estimation accuracy. by Weheliye H. Weheliye (22022140)

“…<b>(C)</b> Examples of the kinds of errors each model makes. PAF and Omnipose often over-segment worms. …”