Four publicly available datasets, (a) Lucchi, (b) Lucchi++, (c) Kasthuri++, and (d) UroCell were used in this study. by Yubraj Gupta (7465394)

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The image shows the predicted mask generated for all four datasets after passing each volume through a 3D U-Net trained model (M2). by Yubraj Gupta (7465394)

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Summary of model configurations and computational complexities of each model. by Yubraj Gupta (7465394)

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Voxel-wise analysis of susceptibility maps using the same slice (chosen for the best thalamic visuals) of the study-specific (QSM contrast) template shown in bottom row of Fig 1a,... by Fahad Salman (6150395)

MCount uses a combination of contour-based and region-based information to accurately count merged colonies. by Sijie Chen (1622476)

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pone.0311242.g007 - MCount: An automated colony counting tool for high-throughput microbiology by Sijie Chen (1622476)

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S4 Fig - by Sijie Chen (1622476)

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S3 Fig - by Sijie Chen (1622476)

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Summary of hyperparameter optimization methods used in MCount. The table includes the method number, image type (labeled or unlabeled), number of images used for optimization, hype... by Sijie Chen (1622476)

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MCount has two adjustable hyperparameters, <i>d</i> and <i>λ</i>, which control the contour fineness and constrain the circle number, respectively. by Sijie Chen (1622476)

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Data design. by Danqiangyu Zhou (22146196)

“…<div><p>In response to the low accuracy and recall of current English translation text error recognition methods, this paper proposes a research on English translation text error recognition based on an improved decision tree algorithm. …”

Data. by Danqiangyu Zhou (22146196)

“…<div><p>In response to the low accuracy and recall of current English translation text error recognition methods, this paper proposes a research on English translation text error recognition based on an improved decision tree algorithm. …”

Variability measurement and stability analysis. by Danqiangyu Zhou (22146196)

“…<div><p>In response to the low accuracy and recall of current English translation text error recognition methods, this paper proposes a research on English translation text error recognition based on an improved decision tree algorithm. …”

Model pseudocode. by Danqiangyu Zhou (22146196)

“…<div><p>In response to the low accuracy and recall of current English translation text error recognition methods, this paper proposes a research on English translation text error recognition based on an improved decision tree algorithm. …”

Automatic Cell Segmentation and Calcium Response Report after Laser-Induced Shockwave by Harvy Chang (22363293)

“…This project developed a Python-based workflow that integrates Cellpose, a machine learning algorithm, with data visualization tools to automate calcium imaging analysis.…”

Data from an Investigation of Music Analysis by the Application of Grammar-based Compressor by David Humphreys (19079318)

“…<br>Only one error is present within the piece at each iteration. …”

Research on Vehicle Detection Algorithms Based on Deep Learning in Complex Environments by Xiaodan Li (22309438)

<b>Measurement </b><b>m</b><b>ethod for </b><b>b</b><b>ogie </b><b>s</b><b>teel </b><b>s</b><b>pring </b><b>p</b><b>arameters </b><b>b</b><b>ased on 3D </b><b>s</b><b>tructured </b... by xinpeng shi (16710936)

“…Subsequently, an improved density-based clustering algorithm is employed to segment the end-face point cloud of the steel spring. …”

Table 1_Deep learning-based automated segmentation and quantification of the dural sac cross-sectional area in lumbar spine MRI.docx by George Ghobrial (3208860)

“…Traditionally, radiologists perform this measurement manually, which is both time-consuming and susceptible to errors. Advances in deep learning, particularly convolutional neural networks (CNNs) like the U-Net architecture, have demonstrated significant potential in the analysis of medical images. …”

Optimizing Neuronal Calcium Flux Analysis: A Python Framework for Alzheimer's and TBI Studies by Huiying Huang (490768)

“…Dead cells are identified via watershed algorithms, and all cells are segmented using Cellpose, an AI-based tool. …”