Effect of image resolution on the performance of the binary classifier algorithm in predicting occurrence of a bird target(s) on an individual image using the validation imagery se... by Tsung-Wei Ke (18297551)

Effect of training regions on the performance of the Mask R-CNN detection algorithm based on the refined annotation bounding boxes. by Tsung-Wei Ke (18297551)

Performance of the baseline SVM and Mask R-CNN detection algorithms based on the original, manually-derived annotated bounding boxes. by Tsung-Wei Ke (18297551)

Effect of image resolution on the performance of the Mask R-CNN algorithm in detecting individual bird instances as applied to the validation imagery set. by Tsung-Wei Ke (18297551)

Performance of the Mask R-CNN detection algorithm based on the original, manually-derived, annotation bounding boxes, and the refined annotation bounding boxes. by Tsung-Wei Ke (18297551)

<b>DDS3 - Dataset of mosaic sputum smear microscopy images for evaluation of bacillus detection algorithms</b> by Marly G F Costa (19812192)

“…This dataset was generated to enable the training, validation and testing of bacillus detection algorithms. There are 8,000 mosaic images with corresponding binary masks. 6,000 for training set, 1,000 for validation set and 1,000 for testing set. …”

The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

“…To address this, the research integrates a modified A* pathfinding algorithm with a U-Net convolutional neural network, a custom statistical binary classification method, and a personalized Min-Max connectivity threshold to automate the detection of astrocyte connectivity.…”

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

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

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

“…<p>The DullRazor algorithm systematically removes hair artifacts through a multi-step process: (1) converting the original hairy input image to grayscale, (2) applying a black hat filter to detect and isolate hair structures, (3) creating a binary mask of detected hair regions, and (4) removing hair regions and inpainting the underlying skin texture. …”

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

<b>DDS1 - Dataset of patch images derived from sputum smear microscopy images </b><b>for the development of bacillus detection methods</b> by Marly G F Costa (19812192)

“…This dataset was generated to enable the training, validation, and testing of algorithms for bacilli detection in sputum smear microscopy images.…”

WEISS Catheter Segmentation in Fluoroscopy Dataset by Evangelos Mazomenos (6761597)

Automatic Pre-Processing (APP). by Yuxiang Wu (748543)

MRCNN+Watershed workflow. by Anuradha Kar (12418362)

NuSeT efficiently addresses common segmentation challenges. by Linfeng Yang (516708)

“…The watershed line is then estimated based on the binary mask and centroids. <b>(B)</b> Sample results showing that RPN successfully detects most of the cells, and watershed lines further separate touching cells. …”

Symmetry test result. by Jiyong Moon (16819302)

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

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