Medical Image Classification with CNN
Budget: $30 – $250 USD
I'm seeking an experienced professional to develop a Convolutional Neural Network (CNN) for classifying medical images. The task involves distinguishing between healthy and diseased images.
Key Requirements:
- Expertise in CNNs and image classification
- Proficiency in Python and deep learning libraries (TensorFlow, Keras, PyTorch)
- Experience with medical image datasets
- Strong understanding of image preprocessing techniques
- Ability to evaluate model performance and fine-tune for accuracy
Deliverables:
- A trained CNN model
- Code and documentation for model implementation
- Performance metrics and evaluation report
Ideal candidates should have a strong background in machine learning, particularly in healthcare applications.
Key Requirements:
- Expertise in CNNs and image classification
- Proficiency in Python and deep learning libraries (TensorFlow, Keras, PyTorch)
- Experience with medical image datasets
- Strong understanding of image preprocessing techniques
- Ability to evaluate model performance and fine-tune for accuracy
Deliverables:
- A trained CNN model
- Code and documentation for model implementation
- Performance metrics and evaluation report
Ideal candidates should have a strong background in machine learning, particularly in healthcare applications.