The main workflow of the proposed algorithm. by Xin Li (51274)

Comparison of images before and after pre-processing: the original image (left) and after applying top-hat and bottom-hat filters (right). by Rinrada Tanthanathewin (18611171)

An example of a histogram of the normalized intensity of an OCT image. by Rinrada Tanthanathewin (18611171)

Examples of results from two different OCT images shown in the left and right columns. by Rinrada Tanthanathewin (18611171)

ILM (pink line) and RPE (green line) layers in a normal OCT image. by Rinrada Tanthanathewin (18611171)

Schematic representation of semi-automated algorithm for organoids analyzing. by Anna Demchenko (18449439)

An example of an OCT image of a DR case (left) and illustration of relevant parts (right): EX-AN blobs (yellow blobs) in the area of interest (a blue region), the ILM (a red line)... by Rinrada Tanthanathewin (18611171)

The histogram identified two vertical bars to serve as the two thresholds. by Hesham Abdushkour (16617908)

Comparative study of the results obtained by our proposed method and those of Nguyen et al. [49], Hou [50], and Zhao et al. [51] is presented. by Hesham Abdushkour (16617908)

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

Crown segmentation based on semantic segmentation and CHM by Wang Jiayao (20326995)

Particle tracking validation of the S8 algorithm. by Jennifer M. Knighten (15453354)

Algorithm framework of this paper. by Xiaoqin Wu (470428)

“…This paper proposes a network model based on the combination of U-net and DenseNet to solve the problems of class imbalance in multi-modal brain tumor image segmentation and the loss of effective information features caused by the integration of features in the traditional U-net network. …”

NuSeT efficiently addresses common segmentation challenges. by Linfeng Yang (516708)

“…<p><b>(A)</b> Implementing RPN-aided watershed algorithm improves touching cell separation. Bounding boxes and segmentation masks are computed by RPN and U-Net. …”

A new fast filtering algorithm for a 3D point cloud based on RGB-D information by Chaochuan Jia (7256237)

“…Then, the optimal segmentation threshold of the V image that is calculated by using the Otsu algorithm is applied to segment the color mapping image into a binary image, which is used to extract the valid point cloud from the original point cloud with outliers. …”

Graphical representation of KerTAD algorithm. by Luka Maisuradze (8791229)

Table_1_Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model.docx by Chenglin Wang (430151)

The RETA Benchmark for Retinal Vascular Tree Analysis by Xingzheng Lyu (3849409)

Min-Cut/Max-Flow Problem Instances for Benchmarking by Patrick Møller Jensen (7232042)

Chákṣu IMAGE: A glaucoma-specific fundus image database by Harish Kumar J R (12958519)

“…The folder 5.0_OD_OC_Mean_Median_Majority_STAPLE in the Train/Test set contains the overlay, mean, median, majority, and STAPLE algorithm based gold standard binary images obtained from the binary images of doctors annotations. …”