CNN Model for Breast Cancer Detection -- 2
Budget: $30 – $250 USD
I need a skilled Machine Learning expert to help train a Convolutional Neural Network (CNN) model for classifying breast cancer images using the CBIS-DDSM, MIAS, and INbreast datasets. The goal is to achieve high performance metrics, specifically aiming for:
- Accuracy: Up to 95%
- Recall/Sensitivity: Up to 95%
- Specificity: Up to 95%
- Precision
- F1 Score
The project needs to be implemented in Python, using GPU Tensorflow on a native Windows local environment. Familiarity with the Tensorflow installation process for Windows is a plus. Please note that data preparation has not yet started, so experience in data pre-processing and augmentation is essential.
- Accuracy: Up to 95%
- Recall/Sensitivity: Up to 95%
- Specificity: Up to 95%
- Precision
- F1 Score
The project needs to be implemented in Python, using GPU Tensorflow on a native Windows local environment. Familiarity with the Tensorflow installation process for Windows is a plus. Please note that data preparation has not yet started, so experience in data pre-processing and augmentation is essential.