Source Code for Comparative Study of Search Trees Implemented in Java حسب Mohammed Alaa Ala'anzy (21711464)

الموضوعات:

Processes in the bagged tree ensemble classification in our experiment. حسب Rinrada Tanthanathewin (18611171)

Comparison of our EX-AN segmentation method against comparative methods: BT-WS and AT-ST, and performance comparison of our used bagged tree ensemble classifier method against othe... حسب Rinrada Tanthanathewin (18611171)

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

"…Researchers could develop vessel segmentation algorithms and evaluate segmentation performance using RETA. …"

Validation of image processing steps and metric results using images of a microfluidic device. حسب Gavrielle R. Untracht (11820311)

Flowchart of software workflow. حسب Gavrielle R. Untracht (11820311)

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

"…</p> </li><li> <p><strong>Oriented MRF segmentation</strong> based on [B04], [R21], [E14].</p> </li><li> <p><strong>U-Net segmentation cleaning with MRFs</strong> based on [B04] “An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision”, 2004, PAMI:</p> <ul><li> <p><strong>Cleaning of V-Net segmentations</strong> based on [R21], [M16], [E14].…"

Chákṣu IMAGE: A glaucoma-specific fundus image database حسب 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. …"

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. …"