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)

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. …”

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)

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)

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. …”

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. …”

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. …”

Output of Wiener filter on each RGB 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. …”

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

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging by D. Andrew Brown (6584837)

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

“…<p>(A) Mask R-CNN framework for neuron segmentation. The network predicts a probability of being a neuron, a bounding box and a binary mask for each candidate neuron taking summary images as inputs (mean and correlation). …”