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Mubarak Taiwo Mustapha

Showing results (1-10 of 17) with videos related to

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Diagnostics (Basel, Switzerland)|June 24, 2022
Breast Cancer Screening Based on Supervised Learning and Multi-Criteria Decision-MakingMubarak Taiwo Mustapha, Dilber Uzun Ozsahin, Ilker Ozsahin, et al.
Brain Sciences|June 27, 2024
A Comparative Analysis of the Novel Conditional Deep Convolutional Neural Network Model, Using Conditional Deep Convolutional Generative Adversarial Network-Generated Synthetic and Augmented Brain Tumor Datasets for Image ClassificationEfe Precious Onakpojeruo, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Computers in Biology and Medicine|March 13, 2025
Machine learning prediction of overall survival in prostate adenocarcinoma using ensemble techniquesDeclan Ikechukwu Emegano, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Brain Communications|November 4, 2024
Enhanced MRI-based brain tumour classification with a novel Pix2pix generative adversarial network augmentation frameworkEfe Precious Onakpojeruo, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Diagnostics (Basel, Switzerland)|November 11, 2022
Evaluating the Performance of Deep Learning Frameworks for Malaria Parasite Detection Using Microscopic Images of Peripheral Blood SmearsDilber Uzun Ozsahin, Mubarak Taiwo Mustapha, Basil Bartholomew Duwa, et al.
Diagnostics (Basel, Switzerland)|January 21, 2023
Computer-Aided Detection and Classification of Monkeypox and Chickenpox Lesion in Human Subjects Using Deep Learning FrameworkDilber Uzun Ozsahin, Mubarak Taiwo Mustapha, Berna Uzun, et al.
Diagnostics (Basel, Switzerland)|January 8, 2023
An Alternative Diagnostic Method for <i>C. neoformans</i>: Preliminary Results of Deep-Learning Based Detection ModelAyse Seyer Cagatan, Mubarak Taiwo Mustapha, Cemile Bagkur, et al.
Bioengineering (Basel, Switzerland)|April 26, 2025
Advancing Prostate Cancer Diagnostics: A ConvNeXt Approach to Multi-Class Classification in Underrepresented PopulationsDeclan Ikechukwu Emegano, Mubarak Taiwo Mustapha, Ilker Ozsahin, et al.
Computational and Mathematical Methods in Medicine|October 5, 2020
Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial IntelligenceIlker Ozsahin, Boran Sekeroglu, Musa Sani Musa, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
Mathematical Assessment of Machine Learning Models Used for Brain Tumor DiagnosisDilber Uzun Ozsahin, Efe Precious Onakpojeruo, Berna Uzun, et al.
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Showing results (1-10 of 17) with videos related to

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Diagnostics (Basel, Switzerland)|June 24, 2022
Breast Cancer Screening Based on Supervised Learning and Multi-Criteria Decision-MakingMubarak Taiwo Mustapha, Dilber Uzun Ozsahin, Ilker Ozsahin, et al.
Brain Sciences|June 27, 2024
A Comparative Analysis of the Novel Conditional Deep Convolutional Neural Network Model, Using Conditional Deep Convolutional Generative Adversarial Network-Generated Synthetic and Augmented Brain Tumor Datasets for Image ClassificationEfe Precious Onakpojeruo, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Computers in Biology and Medicine|March 13, 2025
Machine learning prediction of overall survival in prostate adenocarcinoma using ensemble techniquesDeclan Ikechukwu Emegano, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Brain Communications|November 4, 2024
Enhanced MRI-based brain tumour classification with a novel Pix2pix generative adversarial network augmentation frameworkEfe Precious Onakpojeruo, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Diagnostics (Basel, Switzerland)|November 11, 2022
Evaluating the Performance of Deep Learning Frameworks for Malaria Parasite Detection Using Microscopic Images of Peripheral Blood SmearsDilber Uzun Ozsahin, Mubarak Taiwo Mustapha, Basil Bartholomew Duwa, et al.
Diagnostics (Basel, Switzerland)|January 21, 2023
Computer-Aided Detection and Classification of Monkeypox and Chickenpox Lesion in Human Subjects Using Deep Learning FrameworkDilber Uzun Ozsahin, Mubarak Taiwo Mustapha, Berna Uzun, et al.
Diagnostics (Basel, Switzerland)|January 8, 2023
An Alternative Diagnostic Method for <i>C. neoformans</i>: Preliminary Results of Deep-Learning Based Detection ModelAyse Seyer Cagatan, Mubarak Taiwo Mustapha, Cemile Bagkur, et al.
Bioengineering (Basel, Switzerland)|April 26, 2025
Advancing Prostate Cancer Diagnostics: A ConvNeXt Approach to Multi-Class Classification in Underrepresented PopulationsDeclan Ikechukwu Emegano, Mubarak Taiwo Mustapha, Ilker Ozsahin, et al.
Computational and Mathematical Methods in Medicine|October 5, 2020
Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial IntelligenceIlker Ozsahin, Boran Sekeroglu, Musa Sani Musa, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
Mathematical Assessment of Machine Learning Models Used for Brain Tumor DiagnosisDilber Uzun Ozsahin, Efe Precious Onakpojeruo, Berna Uzun, et al.
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