Annamalai V.

Key Skills

Software

iMerit

Redbrick AI

V7 Labs

Other

Top Subject Matter

No subject matter listed

Top Data Types

Image

Medical Dicom

Top Task Types

Bounding Box

Classification

Diagnosis

Segmentation

Text Summarization

Freelancer Overview

As a young radiologist enthusiastic about using AI in medical imaging, I've actively sought out opportunities to implement my practical skills. A significant part of my early experience has involved hands-on projects in CA lung segmentation, where I've contributed to annotating hundreds of CT scans, meticulously delineating cancerous nodules and healthy lung parenchyma. This not only refined my anatomical knowledge but also provided a unique insight into the challenges and nuances of preparing high-quality datasets for deep learning models, understanding the critical need for precise boundaries to train accurate diagnostic algorithms. I've also dedicated considerable effort to glioblastoma segmentation in MRI studies, a complex and highly specialized area. Furthermore, my participation in a project involving fetal parts bounding boxes in ultrasound images has broadened my perspective on the diverse applications of image annotation, emphasizing the importance of accurate spatial localization in obstetric imaging and showcasing my adaptability across different imaging modalities and anatomical regions.

Labeling Experience

Lung tumor segmention, in patients undergoing Radiotherapy

iMeritMedical DicomSegmentation

Tumor segmention in lung, in patients undergoing Radiotherapy.

2024

Fetal body parts labelling in Ultrasound images

OtherMedical DicomBounding Box

Fetal body parts labelling in Ultrasound images

2024 - 2024

Education

Work History