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

Analysis of segmentation method’s performance. حسب 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. حسب 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. …"

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

"…The proposed algorithm has the best performance in tumor core area segmentation, and its Sensitivity index has reached 0.924, which has good research significance and application value.…"

Challenging images performance assessment. حسب 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. حسب 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. حسب 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. حسب 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. …"

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

PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

"…This process generated a ground-truth binary semantic segmentation mask and determined the bounding box coordinates (XYWH) for each cell. …"

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

"…The image data has been processed using an asymmetric deconvolution algorithm described by ​Walsh et al., 2020​. …"

<b>BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification</b> حسب BRISC Dataset (22559540)

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

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

Dense block structure. حسب Xiaoqin Wu (470428)

"…The proposed algorithm has the best performance in tumor core area segmentation, and its Sensitivity index has reached 0.924, which has good research significance and application value.…"

Structure diagram of a transition layer. حسب Xiaoqin Wu (470428)

"…The proposed algorithm has the best performance in tumor core area segmentation, and its Sensitivity index has reached 0.924, which has good research significance and application value.…"

Dense-U-net network structure. حسب Xiaoqin Wu (470428)

"…The proposed algorithm has the best performance in tumor core area segmentation, and its Sensitivity index has reached 0.924, which has good research significance and application value.…"

Experimental setup and trajectory estimation methodology. حسب Nouman Javed (16624785)