Search Results - "Mohammed Senan, Ebrahim"

Hybrid Techniques for Diagnosing Endoscopy Images for Early Detection of Gastrointestinal Disease Based on Fusion Features by Ghaleb Al-Mekhlafi, Zeyad, Mohammed Senan, Ebrahim, Sulaiman Alshudukhi, Jalawi, Abdulkarem Mohammed, Badiea

“…Gastrointestinal (GI) diseases, particularly tumours, are considered one of the most widespread and dangerous diseases and thus need timely health care for…”
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Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques by Abunadi, Ibrahim, Senan, Ebrahim Mohammed

“…Leukemia is one of the most dangerous types of malignancies affecting the bone marrow or blood in all age groups, both in children and adults. The most…”
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Hybrid and Deep Learning Approach for Early Diagnosis of Lower Gastrointestinal Diseases by Fati, Suliman Mohamed, Senan, Ebrahim Mohammed, Azar, Ahmad Taher

“…Every year, nearly two million people die as a result of gastrointestinal (GI) disorders. Lower gastrointestinal tract tumors are one of the leading causes of…”
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Predicting of diabetic retinopathy development stages of fundus images using deep learning based on combined features by Shamsan, Ahlam, Senan, Ebrahim Mohammed, Ahmad Shatnawi, Hamzeh Salameh

“…The number of diabetic retinopathy (DR) patients is increasing every year, and this causes a public health problem. Therefore, regular diagnosis of diabetes…”
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Deep and Hybrid Learning Technique for Early Detection of Tuberculosis Based on X-ray Images Using Feature Fusion by Fati, Suliman Mohamed, Senan, Ebrahim Mohammed, ElHakim, Narmine

“…Tuberculosis (TB) is a fatal disease in developing countries, with the infection spreading through direct contact or the air. Despite its seriousness, the…”
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AI Techniques of Dermoscopy Image Analysis for the Early Detection of Skin Lesions Based on Combined CNN Features by Olayah, Fekry, Senan, Ebrahim Mohammed, Ahmed, Ibrahim Abdulrab, Awaji, Bakri

“…Melanoma is one of the deadliest types of skin cancer that leads to death if not diagnosed early. Many skin lesions are similar in the early stages, which…”
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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 Alshahrani, Mohammed, Al-Jabbar, Mohammed, Senan, Ebrahim Mohammed, Ahmed, Ibrahim Abdulrab, Mohammed Saif, Jamil Abdulhamid

“…Skin cancer is one of the most fatal skin lesions, capable of leading to fatality if not detected in its early stages. The characteristics of skin lesions are…”
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Analysis of Histopathological Images for Early Diagnosis of Oral Squamous Cell Carcinoma by Hybrid Systems Based on CNN Fusion Features by Ahmed, Ibrahim Abdulrab, Senan, Ebrahim Mohammed, Shatnawi, Hamzeh Salameh Ahmad

“…Oral squamous cell carcinoma (OSCC) is one of the deadliest and most common types of cancer. The incidence of OSCC is increasing annually, which requires early…”
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Early Diagnosis of Oral Squamous Cell Carcinoma Based on Histopathological Images Using Deep and Hybrid Learning Approaches by Fati, Suliman Mohamed, Senan, Ebrahim Mohammed, Javed, Yasir

“…Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer types, which is ranked the seventh most common cancer. As OSCC is a…”
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Automatic Classification of Colour Fundus Images for Prediction Eye Disease Types Based on Hybrid Features by Shamsan, Ahlam, Senan, Ebrahim Mohammed, Shatnawi, Hamzeh Salameh Ahmad

“…Early detection of eye diseases is the only solution to receive timely treatment and prevent blindness. Colour fundus photography (CFP) is an effective fundus…”
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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 Olayah, Fekry, Senan, Ebrahim Mohammed, Ahmed, Ibrahim Abdulrab, Awaji, Bakri

“…White blood cells (WBCs) are one of the main components of blood produced by the bone marrow. WBCs are part of the immune system that protects the body from…”
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Deep Learning Algorithms for Detection and Classification of Gastrointestinal Diseases by Hmoud Al-Adhaileh, Mosleh, Mohammed Senan, Ebrahim, Alsaade, Fawaz Waselallah, Aldhyani, Theyazn H. H, Alsharif, Nizar, Abdullah Alqarni, Ahmed, Uddin, M. Irfan, Alzahrani, Mohammed Y., Alzain, Elham D., Jadhav, Mukti E.

“…Currently, nearly two million patients die of gastrointestinal diseases worldwide. Video endoscopy is one of the latest technologies in the medical imaging…”
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Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features by Al-Jabbar, Mohammed, Alshahrani, Mohammed, Senan, Ebrahim Mohammed, Ahmed, Ibrahim Abdulrab

“…Lung and colon cancer are among humanity's most common and deadly cancers. In 2020, there were 4.19 million people diagnosed with lung and colon cancer, and…”
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Hybrid Models for Endoscopy Image Analysis for Early Detection of Gastrointestinal Diseases Based on Fused Features by Ahmed, Ibrahim Abdulrab, Senan, Ebrahim Mohammed, Shatnawi, Hamzeh Salameh Ahmad

“…The gastrointestinal system contains the upper and lower gastrointestinal tracts. The main tasks of the gastrointestinal system are to break down food and…”
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Multi-Method Diagnosis of Histopathological Images for Early Detection of Breast Cancer Based on Hybrid and Deep Learning by Al-Jabbar, Mohammed, Alshahrani, Mohammed, Senan, Ebrahim Mohammed, Ahmed, Ibrahim Abdulrab

“…Breast cancer (BC) is a type of cancer suffered by adult females worldwide. A late diagnosis of BC leads to death, so early diagnosis is essential for saving…”
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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 Khalid, Ahmed, Senan, Ebrahim Mohammed, Al-Wagih, Khalil, Al-Azzam, Mamoun Mohammad Ali, Alkhraisha, Ziad Mohammad

“…Alzheimer's disease (AD) is considered one of the challenges facing health care in the modern century; until now, there has been no effective treatment to cure…”
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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 Al-Jabbar, Mohammed, Alshahrani, Mohammed, Senan, Ebrahim Mohammed, Ahmed, Ibrahim Abdulrab

“…Breast cancer is the second most common type of cancer among women, and it can threaten women's lives if it is not diagnosed early. There are many methods for…”
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Hybrid Techniques for the Diagnosis of Acute Lymphoblastic Leukemia Based on Fusion of CNN Features by Ahmed, Ibrahim Abdulrab, Senan, Ebrahim Mohammed, Shatnawi, Hamzeh Salameh Ahmad, Alkhraisha, Ziad Mohammad, Al-Azzam, Mamoun Mohammad Ali

“…Acute lymphoblastic leukemia (ALL) is one of the deadliest forms of leukemia due to the bone marrow producing many white blood cells (WBC). ALL is one of the…”
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Multi-Techniques for Analyzing X-ray Images for Early Detection and Differentiation of Pneumonia and Tuberculosis Based on Hybrid Features by Ahmed, Ibrahim Abdulrab, Senan, Ebrahim Mohammed, Shatnawi, Hamzeh Salameh Ahmad, Alkhraisha, Ziad Mohammad, Al-Azzam, Mamoun Mohammad Ali

“…An infectious disease called tuberculosis (TB) exhibits pneumonia-like symptoms and traits. One of the most important methods for identifying and diagnosing…”
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Hybrid Techniques for Diagnosis with WSIs for Early Detection of Cervical Cancer Based on Fusion Features by Mohammed, Badiea Abdulkarem, Senan, Ebrahim Mohammed, Al-Mekhlafi, Zeyad Ghaleb, Alazmi, Meshari, Alayba, Abdulaziz M., Alanazi, Adwan Alownie, Alreshidi, Abdulrahman, Alshahrani, Mona

“…Cervical cancer is a global health problem that threatens the lives of women. Liquid-based cytology (LBC) is one of the most used techniques for diagnosing…”
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