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‪hossam Eldien Hamada‬‏

‪hossam Eldien Hamada‬‏

Agency
EGYPT flag
cairo, Egypt
$60.00/hrExpert150+HIPPAGDPR

Key Skills

Software

EncordEncord
V7 LabsV7 Labs
Other

Top Subject Matter

No subject matter listed

Top Data Types

VideoVideo
ImageImage
Medical DicomMedical Dicom

Top Task Types

Segmentation
Bounding Box
Point Key Point
Classification

Company Overview

With over 7 years of hands-on experience in the field of radiology, our team specializes in mobile X-ray services and advanced CT imaging, utilizing state-of-the-art technology . Our core expertise lies in handling complex DICOM datasets, ensuring anatomical precision, and maintaining the highest standards of technical accuracy in medical image interpretation. We are committed to bridging the gap between clinical radiology and AI development by providing expert-level data annotation and quality review services. Our mission is to support the global HealthTech industry in building more accurate diagnostic algorithms through clinical excellence and a deep understanding of radiological workflows.

ExpertArabic

Security

Security Overview

El-Helal Red Crescent Hospital is a leading healthcare institution in Aswan, Egypt, committed to the highest standards of medical data security. Our facility operates under strict national health regulations and international data privacy protocols. All medical imaging data, including DICOM files from our advanced radiology department, are handled within a secure Hospital Information System (HIS) environment. We ensure complete data anonymization and strictly control access to patient records, employing encrypted storage and secure workstations for all AI data labeling and annotation tasks. Our institutional framework guarantees a reliable, scalable, and secure environment for large-scale medical AI projects.

Security Credentials

HIPPAGDPR

Labeling Experience

Pediatric Neuro-Oncology MRI Annotation (57357 Hospital)

OtherMedical DicomBounding BoxSegmentation
High-precision MRI data curation and annotation specialized in pediatric oncology, performed on GE 1.5T systems at Children’s Cancer Hospital 57357. This project involves detailed 3D segmentation of pediatric brain tumors and solid masses, identifying delicate anatomical structures in children, and providing high-fidelity ground truth for AI-driven oncology diagnostic tools. Expertise includes multi-sequence MRI analysis (T1, T2, FLAIR, DWI) specifically tailored for pediatric protocols, ensuring the highest standards of clinical accuracy in oncological data labeling

High-precision MRI data curation and annotation specialized in pediatric oncology, performed on GE 1.5T systems at Children’s Cancer Hospital 57357. This project involves detailed 3D segmentation of pediatric brain tumors and solid masses, identifying delicate anatomical structures in children, and providing high-fidelity ground truth for AI-driven oncology diagnostic tools. Expertise includes multi-sequence MRI analysis (T1, T2, FLAIR, DWI) specifically tailored for pediatric protocols, ensuring the highest standards of clinical accuracy in oncological data labeling

Present

Multi-Vendor CT Diagnostic Annotation & Quality Assurance

OtherMedical DicomSegmentationClassification
Expert radiology technologist with 7 years of clinical experience, currently operating at Al-Hilal Red Crescent Hospital. This project involves the high-precision annotation and quality review of multi-vendor CT datasets, including GE VCT 64-slice, Siemens 128-slice, and Toshiba/Canon systems. Expertise includes detailed anatomical segmentation, pathological feature labeling, and DICOM metadata validation for AI model training. Specialized in ensuring 100% technical and clinical accuracy across various protocols including Cardiac, Neuro, and Emergency CT imaging.

Expert radiology technologist with 7 years of clinical experience, currently operating at Al-Hilal Red Crescent Hospital. This project involves the high-precision annotation and quality review of multi-vendor CT datasets, including GE VCT 64-slice, Siemens 128-slice, and Toshiba/Canon systems. Expertise includes detailed anatomical segmentation, pathological feature labeling, and DICOM metadata validation for AI model training. Specialized in ensuring 100% technical and clinical accuracy across various protocols including Cardiac, Neuro, and Emergency CT imaging.

Present