I will build an ai deep learning model to detect diseases from xray and mri scans
About this Gig
Are you looking for a highly accurate AI model to detect diseases from medical images like X-rays, MRI, CT scans, or histopathology slides? You are in the right place.
I specialize in building deep learning and computer vision models for medical image analysis, including disease detection, lesion identification, organ segmentation, and abnormality classification.
SERVICES I OFFER:
Chest X-ray disease detection (pneumonia, COVID-19, tuberculosis)
MRI brain tumor detection and segmentation
Retinal fundus image analysis and diabetic retinopathy detection
Bone fracture detection from X-ray scans
Custom multi-class disease classification
Transfer learning with ResNet, VGG, EfficientNet, DenseNet
Model evaluation with accuracy, AUC-ROC, F1-score, confusion matrix
Deployment-ready model with REST API
WHY CHOOSE ME:
Deep expertise in PyTorch, TensorFlow, Keras, and OpenCV
Experience with public medical datasets (NIH, MIMIC, ISIC)
Clean, well-documented, reproducible Python code
95%+ accuracy on benchmark datasets
Fast delivery
Let's build a smart, accurate medical AI system that makes a real impact. Message me before ordering to discuss your dataset and require
Programming language:
Python
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R
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MATLAB
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SQL
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Colab
Frameworks:
Scikit-learn
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DeepPy
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Google ML Kit
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SimpleCV
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PyTorch
FAQ
Can you work with private or anonymized hospital datasets?
Yes, I can work with DICOM, NIfTI, PNG, or JPEG formats. All data shared is handled confidentially and never stored or reused.
What if my dataset is small or imbalanced?
I apply data augmentation, class weighting, and SMOTE techniques to handle small or imbalanced medical datasets effectively.
Will you help me understand and present the model results?
Yes, I provide a detailed report including accuracy metrics, sample predictions, and visual explanations like Grad-CAM heatmaps.

