Khadiga M. Ali

Diagnostic Value of Insulinoma Associated Protein 1 (INSM1) as Novel Marker for Pulmonary and Gastroenteropancreatic Neuroendocrine Tumor

Aya Ali Younes, Ramy Sallam, Khadiga M. Ali, Nadia Bassiouny

AI-Driven Breast Cancer Diagnosis: A Systematic Review of Imaging Modalities, Deep Learning, and Explainability

Margo Sabry, Hossam Magdy Balaha, Khadiga M. Ali, Ali Mahmoud et autres

Background: This article provides a comprehensive overview of recent advancements in artificial intelligence (AI) and deep-learning technologies for breast cancer (BC) diagnosis across various imaging modalities. Methods: A systematic review was conducted in strict adherence to the PRISMA guidelines, incorporating a comparative …

Égypte, us, ae (code pays fourni par la source)

Multiclass Classification of Renal Tumor Subtypes: Addressing Diagnostic Challenges Using a Texture-Informed Deep Hybrid CNN-Transformer

Mohamed T. Azam, Hossam Magdy Balaha, A. Aboudessouki, Khadiga M. Ali et autres

us, Égypte, ae (code pays fourni par la source)

From Hematoxylin and Eosin to Masson’s Trichrome: A Comprehensive Framework for Virtual Stain Transformation in Chronic Liver Disease Diagnosis

Hossam Magdy Balaha, Khadiga M. Ali, Ali Mahmoud, A. Aboudessouki et autres

Background/Objectives: Virtual histological staining offers a rapid, cost-effective alternative to physical reprocessing but faces challenges related to spatial misalignment and staining heterogeneity between Hematoxylin and Eosin (H&E) and Masson’s Trichrome (MT) domains. This study develops a robust framework for H&E-to-MT virtual staining …

us, Égypte (code pays fourni par la source)

Embedding-driven dual-branch approach for accurate breast tumor cellularity classification

Hossam Magdy Balaha, Ali Mahmoud, Khadiga M. Ali, Mohammed Ghazal et autres

This study proposes a dual-branch framework for precise classification of breast tumor cellularity via histopathological images where it integrates two distinct branches: the Embedding Extraction Branch (embedding-driven) and the Vision Classification Branch (vision-based). The Embedding Extraction Branch uses the Virchow2 transformation to …

us, Égypte, ae, sa (code pays fourni par la source)

Immunohistochemical assessment of duodenal mucosal gamma/delta receptor-expressing T-lymphocytes as a diagnostic adjunct for pediatric celiac disease

Sara Gamal Mohamed Ouf, Mena Mahfouz, Khadiga M. Ali, Amal Abd El hafez et autres

Égypte (code pays fourni par la source)

Fetus-in-fetu in an 11-day-old female infant with descriptive histopathological insights: a case report

R Ehab Abdelkader, Mohamed Elsherbiny, Adham Elsaied, Momen Abdelglil et autres

Fetus-in-fetu (FIF), a rare congenital anomaly, involves a malformed fetus within its twin. It typically presents as an asymptomatic abdominal mass discovered postnatally, with an incidence of 1/500000 births. An 11-day-old Arab female infant presented with progressive abdominal distention. General physical examinations …

Égypte (code pays fourni par la source)

A Novel Explainable AI-Based System For Improved Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy

Fatma M. Talaat, Hanaa ZainEldin, Mohamed Shehata, Eman Alnaghy et autres

We propose a novel AI-based system for breast cancer (BCa) assessment to predict response to neoadjuvant chemotherapy (NAC) into one of three responses: Partial Response (PR), Complete Response (CR), and Stationary Disease (SD), providing a full insight for medical experts about treatment …

Égypte, us, ru (code pays fourni par la source)

A Novel AI Framework for Breast Cancer Molecular Biomarker Response Score Detection on Cells Level Using Marker-Based Watershed Segmentation and Machine Learning Classifiers

A. Aboudessouki, Khadiga M. Ali, Ahmed Alksas, Mohamed Elsharkawy et autres

Breast cancer is a highly complex disease that requires precise molecular subtyping to guide tailored treatment strategies. In this study, we employed a marker-based watershed segmentation technique on a breast cancer dataset, enabling the extraction of essential morphometric parameters. These included area, …

ru, Égypte, ae, us (code pays fourni par la source)

40 Rare Presentation of Fetus in Fetu in a Neonate: Insights from Pathology and Literature: A Case Report

M Elsherbiny, R Ehab Abdelkader, Mostafa Abdel-Glil, Moustafa Elayyouti et autres

Abstract Background Fetus-in-fetu (FIF), a rare congenital anomaly, involves the presence of a malformed fetus within its twin. It typically presents as an asymptomatic abdominal mass discovered postnatally. In this report, we present a rare case of a fetus in fetu. Case …

Égypte (code pays fourni par la source)

OCT4 and MENA immunoprofiling in salivary mucoepidermoid carcinoma

Omnia Samir, Doaa A. Farag, Khadiga M. Ali, Lawahez El. M. Ismail

BACKGROUND: Mucoepidermoid carcinoma (MEC) emblematizes the predominant malignant salivary gland neoplasm, characterized by its heterogeneous morphological features and diverse clinical representations. The expression patterns and prognostic significance of Octamer transcription factor 4 (OCT4) and Mammalian-enabled (MENA) protein in MEC perdure are incompletely …

Égypte (code pays fourni par la source)

Predicting Response to Neoadjuvant Chemotherapy using Multi-Modal MRI Radiomics and Machine Learning Approaches

Abdelrahman Gamal, Ahmed Sharafeldeen, Eman Alnaghy, Reham Alghandour et autres

A precise computer-aided diagnosis (CAD) system is introduced to predict two different tumor responses to neoadjuvant chemotherapy (NAC) by studying the correlation between radiological and clinical markers, and treatment response: complete response and stable disease. Predicting the NAC response assists physicians in …

Égypte, us, ae (code pays fourni par la source)