Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques by Ibrahim Abunadi, Ebrahim Mohammed Senan

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Early Diagnosis of Oral Squamous Cell Carcinoma Based on Histopathological Images Using Deep and Hybrid Learning Approaches by Suliman Mohamed Fati, Ebrahim Mohammed Senan, Yasir Javed

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Enhancing early detection of Alzheimer’s disease through hybrid models based on feature fusion of multi-CNN and handcrafted features by Abdulaziz M. Alayba, Ebrahim Mohammed Senan, Jalawi Sulaiman Alshudukhi

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Automatic Classification of Colour Fundus Images for Prediction Eye Disease Types Based on Hybrid Features by Ahlam Shamsan, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi

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Deep and Hybrid Learning Technique for Early Detection of Tuberculosis Based on X-ray Images Using Feature Fusion by Suliman Mohamed Fati, Ebrahim Mohammed Senan, Narmine ElHakim

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Predicting of diabetic retinopathy development stages of fundus images using deep learning based on combined features. by Ahlam Shamsan, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi

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Hybrid and Deep Learning Approach for Early Diagnosis of Lower Gastrointestinal Diseases by Suliman Mohamed Fati, Ebrahim Mohammed Senan, Ahmad Taher Azar

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Hybrid Models for Endoscopy Image Analysis for Early Detection of Gastrointestinal Diseases Based on Fused Features by Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi

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AI Techniques of Dermoscopy Image Analysis for the Early Detection of Skin Lesions Based on Combined CNN Features by Fekry Olayah, Ebrahim Mohammed Senan, Ibrahim Abdulrab Ahmed, Bakri Awaji

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Blood Slide Image Analysis to Classify WBC Types for Prediction Haematology Based on a Hybrid Model of CNN and Handcrafted Features by Fekry Olayah, Ebrahim Mohammed Senan, Ibrahim Abdulrab Ahmed, Bakri Awaji

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Multi-Method Diagnosis of Histopathological Images for Early Detection of Breast Cancer Based on Hybrid and Deep Learning by Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, Ibrahim Abdulrab Ahmed

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Analyzing Histological Images Using Hybrid Techniques for Early Detection of Multi-Class Breast Cancer Based on Fusion Features of CNN and Handcrafted by Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, Ibrahim Abdulrab Ahmed

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Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features by Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, Ibrahim Abdulrab Ahmed

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Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas by Mohammed Hamdi, Ebrahim Mohammed Senan, Mukti E. Jadhav, Fekry Olayah, Bakri Awaji, Khaled M. Alalayah

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Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer by Mohammed Hamdi, Ebrahim Mohammed Senan, Bakri Awaji, Fekry Olayah, Mukti E. Jadhav, Khaled M. Alalayah

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Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models. by Mohammed Alshahrani, Mohammed Al-Jabbar, Ebrahim Mohammed Senan, Ibrahim Abdulrab Ahmed, Jamil Abdulhamid Mohammed Saif

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Hybrid Methods for Fundus Image Analysis for Diagnosis of Diabetic Retinopathy Development Stages Based on Fusion Features by Mohammed Alshahrani, Mohammed Al-Jabbar, Ebrahim Mohammed Senan, Ibrahim Abdulrab Ahmed, Jamil Abdulhamid Mohammed Saif

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Effective Early Detection of Epileptic Seizures through EEG Signals Using Classification Algorithms Based on t-Distributed Stochastic Neighbor Embedding and K-Means by Khaled M. Alalayah, Ebrahim Mohammed Senan, Hany F. Atlam, Ibrahim Abdulrab Ahmed, Hamzeh Salameh Ahmad Shatnawi

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Automatic Analysis of MRI Images for Early Prediction of Alzheimer’s Disease Stages Based on Hybrid Features of CNN and Handcrafted Features by Ahmed Khalid, Ebrahim Mohammed Senan, Khalil Al-Wagih, Mamoun Mohammad Ali Al-Azzam, Ziad Mohammad Alkhraisha

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Automatic and Early Detection of Parkinson’s Disease by Analyzing Acoustic Signals Using Classification Algorithms Based on Recursive Feature Elimination Method by Khaled M. Alalayah, Ebrahim Mohammed Senan, Hany F. Atlam, Ibrahim Abdulrab Ahmed, Hamzeh Salameh Ahmad Shatnawi

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