The flow chart of crack segment algorithm. by Yongning Zou (11564846)

The end result of each phase of the algorithm. by Yongning Zou (11564846)

Displays the various images obtained during the segmentation process. by Hesham Abdushkour (16617908)

tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

Analysis of segmentation method’s performance. by Hesham Abdushkour (16617908)

“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”

Segmentation model performance assessment. by Hesham Abdushkour (16617908)

“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”

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)

Elsafty_Code_1; Segment & Localize Using a Pen by Ahmed Elsafty (16943883)

“…<p dir="ltr">This semi-automated algorithm for image segmentation relies on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing field images/patches. …”

Elsafty_Code_1; segment & localize using a pen by Ahmed Elsafty (16943883)

“…<p dir="ltr">This semi-automated algorithm for image segmentation relies on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing field images/patches. …”

Random forest binary classification of the colorized Corona image for the RSK region, Morocco (1972). by Safia Loulad (16913691)

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

PathOlOgics_RBCs Python Scripts.zip by 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. …”

Image processing workflow. by Denis Tamiev (7404980)

“…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …”

3D Microvascular Image Data and Labels for Machine Learning by 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. …”

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

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

Challenging images performance assessment. by Hesham Abdushkour (16617908)

“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”

Homomorphic filter output on each channel. by Hesham Abdushkour (16617908)

“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”

The proposed model. by Hesham Abdushkour (16617908)

“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”