tUbenet Foundation Model Weights حسب Natalie Holroyd (7099391)

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

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

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

The overall accuracy of the binary RF classifications of the RSK region, Morocco from 1985 to 2020. حسب Safia Loulad (16913691)

Random forest binary classification of the colorized Corona image for the RSK region, Morocco (1972). حسب Safia Loulad (16913691)

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

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

"…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …"

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

"…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …"

Joint Detection of Change Points in Multichannel Single-Molecule Measurements حسب Hugh Wilson (11797444)

الموضوعات:

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

"…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…"

The performance of our proposed method in four scenarios (I to IV) uses simulated data that mimics real-world data distribution with the complete version. حسب Yi-Wen Hsiao (13767916)

الموضوعات:

Schematic representation of semi-automated algorithm for organoids analyzing. حسب Anna Demchenko (18449439)

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm حسب 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. …"

Performance of our proposed method in four scenarios (I to IV) using naïve simulated data with the complete version. حسب Yi-Wen Hsiao (13767916)

الموضوعات:

Performance of the ceRNAR package using synthetic data with randomly selected correlation values from 0.8 to 0.9. حسب Yi-Wen Hsiao (13767916)

الموضوعات:

Performance comparisons between ceRNIA, JAMI, SPONGE, GDCRNATools and ceRNAR packages using synthetic data that mimic the real-world case. حسب Yi-Wen Hsiao (13767916)

الموضوعات:

Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.9). حسب Yi-Wen Hsiao (13767916)

الموضوعات:

Performance of the ceRNAR package in five scenarios under the fast version using synthetic data with a fixed correlation value (0.9). حسب Yi-Wen Hsiao (13767916)

الموضوعات:

Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.6). حسب Yi-Wen Hsiao (13767916)

الموضوعات: