The confidence curve of a binary image. by Dingming Yang (8505990)

Example of subsampling process. by Sofia P. Miranda (11418930)

The confidence change of the binary image after iteration. by Dingming Yang (8505990)

Random forest classification method process. by Yawen Zhong (2342206)

Effects of the augmentation algorithm on cell-based data. by Philipp Fey (14660139)

Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. by Tehnan I. A. Mohamed (16846175)

All augmented cell line data that was generated for this manuscript (part 4). by Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 7). by Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 5). by Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 1). by Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 2). by Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 6). by Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 3). by Philipp Fey (14660139)

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

“…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …”

Process of calculating the wear probability (). by Natsumi Nishiyama (19928990)

ROC curve for binary classification. by Nicodemus Songose Awarayi (18414494)

“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”

Confusion matrix for binary classification. by Nicodemus Songose Awarayi (18414494)

“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”

Inspection of Line Defects in Transition Metal Dichalcogenides Using a Microscopic Hyperspectral Imaging Technique by Xiangmin Hu (1612399)

“…A light selection method was proposed to optimize the optical contrast of line defects. Via application of an image processing algorithm, an automatic detection of the line defects with a classification accuracy of 95% was achieved for WS₂, MoS₂, and MoSe₂. …”

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

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by Hussein Ali Bardan (21976208)

“…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …”