You will get X-ray, CT-scan or mammography Annotation for your AI models
Project details
I specialize in high-quality annotation of medical images for medical applications. As a radiologist with extensive experience in annotating over 8,000 chest CT images, I ensure accurate and precise labeling of anatomical structures such as the heart, lungs, bones, muscles, organs, and tumors. My expertise in using tools like LabelImg and CVAT allows me to provide both bounding box and polygon annotations tailored to your specific requirements. Depending on your requirements, the data can be labeled according to corresponding standards such as PASCAL VOC 1.1, YOLO 1.1, etc. I am committed to delivering detailed and reliable annotations that support AI and machine learning research in healthcare.
Machine Learning Tools
Azure Machine Learning, MLflow, OpenCV, Python, Python Scikit-Learn, scikit-learn, SciPyWhat's included
| Service Tiers |
Starter
$5
|
Standard
$20
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $10
Additional Images
(+ 2 Days)
+$20Frequently asked questions
About Thai Tung
Radiologist, AI engineer
Can Tho, Vietnam - 10:52 pm local time
Strengths and Skills:
1. Artificial Intelligence & Machine Learning: Proficient in building predictive models, neural networks, and machine learning algorithms using Python, TensorFlow, and PyTorch. Experienced in handling imbalanced datasets, oversampling, label smoothing, and class weighting techniques to improve model performance.
2. Data Analysis & Visualization: Expertise in data preprocessing, statistical analysis, and visualization with tools like Pandas, NumPy, and Matplotlib. Skilled in analyzing and interpreting complex datasets to drive decision-making.
3. Healthcare Applications: Specialized in developing AI solutions for medical imaging, including X-ray and mammography analysis. Successfully created models for detecting abnormalities in chest X-rays and diagnosing breast cancer using deep learning techniques.
Projects:
1. X-ray Image Analysis: Developed a machine learning model to identify abnormalities in chest X-ray images, utilizing data from the VinBigData Chest X-ray Abnormalities Detection competition on Kaggle. Implemented various techniques to address data imbalance and achieved competitive mAP scores.
2. Mammography Diagnosis: Worked on a project to diagnose breast cancer from mammography images, focusing on improving recall and pF1 scores. Employed oversampling and advanced neural network architectures such as ResNet, VGG16, ConvNext Small, and MobileNetV3 to enhance model accuracy.
Steps for completing your project
After purchasing the project, send requirements so Thai Tung can start the project.
Delivery time starts when Thai Tung receives requirements from you.
Thai Tung works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation and Requirement Gathering
I will have an initial consultation with the client to understand their specific needs and gather all necessary requirements. This step ensures that I have a clear understanding of the project scope and objectives.
Data Preparation
I will review the provided CT scan images and ensure they are ready for annotation. This step includes organizing the images and setting up the annotation tool.