Imbalanced Dataset Distribution. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Data Preprocessing Steps for IDC Dataset. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Flowchart of Proposed SMO_CNN. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

IDC Breast Cancer Dataset Descriptions. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Accuracy Graph. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Loss Graph. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Hyperparameter Tuning of the Proposed Model. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Comparison of Accuracy Metric. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

ROC Curve for the Best Model (AUC = 0.92). حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Sampling Images of IDC Dataset. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

CNN Model Layers Summary. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Training Data/Validation/Test. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

CNN Model Architecture. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Impressive accuracy data. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Performance Results of Proposed SMO_CNN Model. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Balanced Dataset Distribution. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

"…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …"

Supplementary Material for: The value of circulating tumor DNA in the prognostic diagnosis of bladder cancer: a systematic review and meta-analysis حسب figshare admin karger (2628495)

"…Conclusion: ctDNA demonstrates some clinical application value in the prognostic assessment of bladder cancer, and can assist in predicting patient recurrence and survival. …"

Overview of the comparative analysis of deconvolution model performances using synthetic spatial data in four different scenarios and six different mixture percentages. حسب Nuray Sogunmez Erdogan (21533872)

Table1_Predicting the solubility of CO2 and N2 in ionic liquids based on COSMO-RS and machine learning.xlsx حسب Hongling Qin (5557505)

"…To further improve the performance of COSMO-RS, two options were used, i.e., the polynomial expression to correct the COSMO-RS results and the combination of COSMO-RS and machine learning algorithms (eXtreme Gradient Boosting, XGBoost) to develop a hybrid model. …"

Predicting Dinitrogen Activation and Coupling with Carbon Dioxide and Other Small Molecules by Methyleneborane: A Combined DFT and Machine Learning Study حسب Feiying You (22119041)

"…Machine learning analysis suggests that increasing the HOMO–LUMO gap or the charge on the boron atom or decreasing the charge of the nitrogen atom will reduce the reaction energies. …"