Alae E.

Key Skills

Software

Other

Top Subject Matter

Medical Imaging

Top Data Types

Medical Dicom

Image

Top Task Types

Segmentation

Classification

Data Collection

Freelancer Overview

Radiology resident with current clinical experience in emergency medicine, with strong exposure to X-ray and CT scan interpretation. Experienced in tumor segmentation, medical image annotation, radiomic feature extraction, and radiomic feature selection using advanced statistical methods. Strong background in medical imaging, DICOM datasets, structured data labeling, and quality-focused research workflows.

Labeling Experience

Segmentation and classification

Medical DicomSegmentation

Participated in an ongoing doctoral research project entitled “Predictive value of tumor-infiltrating lymphocytes (TILs), lymph nodes, and breast MRI in patients with early HER2-positive and Triple-Negative Breast Cancer: a retrospective study.” The aim was to assess whether imaging, pathological, and radiomic features could help predict response to neoadjuvant therapy. My tasks included DICOM image review, tumor segmentation, image annotation and classification, radiomic feature extraction, database creation, and feature selection using advanced statistical methods. Quality measures included standardized segmentation procedures, structured data labeling, review of annotations.

2023 - 2025

Education

Work History