The main workflow of the proposed algorithm. حسب 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). حسب Rinrada Tanthanathewin (18611171)

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

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

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

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)... حسب Rinrada Tanthanathewin (18611171)

Qualitative performance examples of <i>CosegPP</i>’s Buckwheat with three cosegmentation methods (DeepCO³, MIG, Subdiscover) and one plant phenotyping segmentation metho... حسب Rubi Quiñones (11378540)

Qualitative performance examples of <i>CosegPP</i>’s Sunflower with three cosegmentation methods (DeepCO³, MIG, Subdiscover) and one plant phenotyping segmentation metho... حسب Rubi Quiñones (11378540)

Segmentation, trace denoising and spike extraction framework. حسب Changjia Cai (10647521)

Visualization of the image segmentation and labeling pipeline for the first frame of an example movie. حسب Miriam Schnitzerlein (21446136)

Algorithm framework of this paper. حسب 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. …"

Objective performance of fully-automated SLAVV software. حسب Samuel A. Mihelic (11539996)

PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

"…<p dir="ltr">The first algorithm for segmentation and localization (see PathOlOgics_script_1; segment & localize using a pen) relied on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing source images/patches. …"

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 حسب Chenglin Wang (430151)

"…Instead of traditional convolution, Ghostconv is utilized by the neck network of the YOLO-CIT model. The fruit segment of citrus in the original citrus images processed by the R-LBP algorithm is combined with the background segment of the citrus images after grayscale processing to construct synthetic images, which are subsequently added to the training dataset. …"

3D Microvascular Image Data and Labels for Machine Learning حسب Natalie Holroyd (7099391)

"…<p dir="ltr">These images and associated binary labels were collected from collaborators across multiple universities to serve as a diverse representation of biomedical images of vessel structures, for use in the training and validation of machine learning tools for vessel segmentation. …"

Key steps in neurodegeneration detection algorithm. حسب Andrew S. Clark (16510496)

"…Using the structures obtained through binarizing these images, the algorithm detects which image contains the dendrites (Scale bar = 10 μm). …"

The steps of proposed method of RWMA detection using echocardiography images for RWMA detection, consisting with cardiac structure segmentation using a trained U-Net on both A4C an... حسب Sazzli Kasim (11218558)

Representitive image of converted blood vessel runnning to ladder pattern image. حسب Shozo Sonoda (104941)

<b>Multimodal MRI radiomics</b><b> based on </b><b>habitat subregions of the tumor microenvironment</b><b> for predicting risk stratification in glioblastoma</b> حسب Han Wang (21457334)

"…Following segmentation, quantitative imaging phenomic (QIP) features were derived from each tumor subregion with the Cancer Imaging Phenomics Toolkit (CaPTk) in accordance with the guidelines established by the Image Biomarker Standardisation Initiative (IBSI).…"

DataSheet_1_Accurate Tumor Delineation vs. Rough Volume of Interest Analysis for 18F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer.docx حسب Shima Sepehri (11574997)