You will get AI-Driven Brain Tumor Segmentation Using UNet and EfficientNet Technologies
Project details
The primary goal of this project is to develop a highly accurate and efficient system for segmenting brain tumors from MRI scans. Leveraging the combined strengths of UNet and EfficientNetB7 architectures, this model delivers superior precision and speed, crucial for enhancing diagnostic processes in medical settings.
Project Outcomes:
Precision Medicine: Facilitates the delivery of personalized treatment plans based on precise tumor localization and segmentation.
Research and Development: Provides a valuable tool for medical research, aiding in the study of tumor progression and treatment responses.
Why Choose This Project? With a deep understanding of both the technical and practical needs of medical imaging AI, this project stands out by delivering not just a model, but a comprehensive solution tailored for the high-stakes field of healthcare. Whether for clinical use or research, it promises to advance the standards of care through innovation and precision.
Project Outcomes:
Precision Medicine: Facilitates the delivery of personalized treatment plans based on precise tumor localization and segmentation.
Research and Development: Provides a valuable tool for medical research, aiding in the study of tumor progression and treatment responses.
Why Choose This Project? With a deep understanding of both the technical and practical needs of medical imaging AI, this project stands out by delivering not just a model, but a comprehensive solution tailored for the high-stakes field of healthcare. Whether for clinical use or research, it promises to advance the standards of care through innovation and precision.
Machine Learning Tools
Deeplearning4j, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$60
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 1 day | 5 days | 7 days |
Number of Revisions | 1 | 2 | 4 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Revision
+$20
Additional Model Variation
(+ 3 Days)
+$150
Additional Scenario
(+ 3 Days)
+$150
Model Validation/Testing
(+ 1 Day)
+$50
Source Code
(+ 7 Days)
+$1,000About Abdul
Machine Learning Engineer| Computer Vision | AI & LLMs | Deep Learning
Taxila, Pakistan - 6:41 pm local time
Object detection
Image segmentation (semantic and instance)
OCR
Generative AI (Stable Diffusion, DALL-E, Runway Gen-2, etc)
Chatbot Development
Image-to-Image Translation, Image Generation, Text-to-Image Generation, Image Super-Resolution
3D Rendering and Augmented Reality
3D image reconstruction
Key-point detection
Pose estimation
Image classification
Face and person re-identification
Face verification
GAN (Generative Adversarial Networks)
Depth estimation
Object tracking and counting
Action recognition
GUI development
Data mining and analysis
Time series forecasting
Text Mining and Classification
Quantization for CPU, GPU, and TPU devices
MATLAB Expert
I have hands-on experience with renowned models such as YOLOV5, YOLOV8, YOLOV9, YOLO-NAS, Segment Anything Model (SAM), Mask-RCNN, DeepLabV3, U-Net, EfficientNet, FaceNet, Arcface, DeepSort, ByteTrack, MediaPipe, SRGAN, 3DGAN, Pix2Pix, DCGAN, CycleGAN, StyleGANV2, DALL-E, Stable Diffusion, Runway Gen-2, GPT3.5, Tesseract, PaddleOCR, etc. My primary programming language is Python, and I am an expert in working with TensorFlow, Keras, PyTorch, OpenCV, NumPy, Matplotlib, SciPy, Pandas, Scikit-learn, Flask, PyQt, and Tkinter. Additionally, I am proficient in Matlab, C, C++, and MySQL.
With a background as a senior AI developer and consultant in various startups, I am eager to share my extensive experience with you. Some of my projects are available as portfolios on this page, and I invite you to explore them.
Why should you hire me?
- Access to the best AI engine, prioritizing accuracy and processing speed.
- On-time delivery of projects.
- Prompt responsiveness.
- Code development using cutting-edge techniques and methodologies.
- Rigorous testing and seamless deployment of codes and models to your device.
Thank you for considering my profile.
Warm regards,
Abdul Rehman
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
Please describe the scenario in that you want to use.
I analyze your requirements. I will prepare, customize and fine-tune the model based on your needs I will deploy the code on your device and run it for you Review the work, release payment, and leave feedback to Valeri.