You will get a medical imaging AI model for X-ray or ultrasound classification


Project details
Need AI to classify X-rays, ultrasound images, or medical scans? I specialize in deep learning models for medical imaging using transfer learning architectures like ResNet50 and VGG19. Every project includes Grad-CAM visualizations so results are explainable, not a black box. My breast cancer classification model reached 98.5% validation accuracy. This service supports research and decision-support use cases. It is not a substitute for professional medical diagnosis, and your data is handled with full confidentiality.
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$40
|
Standard
$75
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | |
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $40
Additional Revision
+$10
Grad-CAM Visualization Pack
(+ 1 Day)
+$15
Multi-Class Classification
(+ 2 Days)
+$20Frequently asked questions
About Abdullah
Junior AI/ML Engineer & Data Science Student
Cairo, Egypt - 12:08 am local time
With hands-on experience in machine learning and data science, I specialize in:
• Building and deploying ML models (classification, regression, NLP)
• Data analysis & visualization (Python, Pandas, Matplotlib)
• Deep Learning (TensorFlow, PyTorch)
• Data cleaning, preprocessing & feature engineering
I focus on delivering practical AI solutions that actually work in the real world — not just in theory.
Feel free to message me and let's discuss how I can help with your project!
Steps for completing your project
After purchasing the project, send requirements so Abdullah can start the project.
Delivery time starts when Abdullah receives requirements from you.
Abdullah works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Preprocessing
Review medical images, normalize, and prepare data while preserving diagnostic detail
Model Training
Train transfer learning model (ResNet50, VGG19) suited for medical image classification
