CNN for Breast Cancer Detection
Budget: $2 – $8 CAD
I'm seeking an expert in Convolutional Neural Networks (CNN) to develop a model for detecting breast cancer in mammography images. The input data will be JPEG formatted images.
Key Requirements:
- The CNN should output a binary classification: indicating either the presence or absence of cancer.
- The training data is partially annotated, meaning some images indicate the presence of cancer while others do not.
- Specify the architecture of the CNN model, including the number of layers and types of layers.
Ideal Skills:
- Extensive experience with CNNs and image classification tasks.
- Familiarity with medical imaging and mammography data is a plus.
- Ability to work with partially annotated datasets.
I need this project completed as soon as possible. Please provide examples of similar projects you've completed in your bid. Thank you.
Key Requirements:
- The CNN should output a binary classification: indicating either the presence or absence of cancer.
- The training data is partially annotated, meaning some images indicate the presence of cancer while others do not.
- Specify the architecture of the CNN model, including the number of layers and types of layers.
Ideal Skills:
- Extensive experience with CNNs and image classification tasks.
- Familiarity with medical imaging and mammography data is a plus.
- Ability to work with partially annotated datasets.
I need this project completed as soon as possible. Please provide examples of similar projects you've completed in your bid. Thank you.