AI Developer for Cervical Cancer Detection -- 2
Budget: €1,500 – €3,000 EUR
I'm in need of a seasoned AI developer to build an advanced software solution tailored for digital pathology. The main objective is to design an AI-enhanced tool that aids pathologists in identifying and categorizing cervical cancer within histopathological images. This innovative solution is intended to improve both diagnostic precision and speed.
Project Timeline:
- Duration: 3-5 months
Key Responsibilities:
- Image Pre-processing and Augmentation: The developer will be responsible for preparing the raw images for model training.
- Model Training and Validation: This involves the use of Convolutional Neural Networks (CNNs) and Transfer Learning techniques.
- User Interface Design and Integration: The developer will also need to design and incorporate a user-friendly interface into the solution.
Specifics of the Project:
- The AI solution needs to be compatible with Whole Slide Images (WSI).
- The training of the AI model will be conducted using raw images without annotations.
Ideal Skills and Experience:
- Deep Learning Frameworks: The ideal candidate will have a strong background in using frameworks such as TensorFlow, PyTorch, or Keras.
- Model Development: Hands-on experience with Convolutional Neural Networks (CNNs) and Transfer Learning is a must.
- UI/UX Design: Prior experience in user interface design is an advantage.
This project is a unique opportunity to contribute to a critical health solution, and I look forward to seeing your proposals.
Project Timeline:
- Duration: 3-5 months
Key Responsibilities:
- Image Pre-processing and Augmentation: The developer will be responsible for preparing the raw images for model training.
- Model Training and Validation: This involves the use of Convolutional Neural Networks (CNNs) and Transfer Learning techniques.
- User Interface Design and Integration: The developer will also need to design and incorporate a user-friendly interface into the solution.
Specifics of the Project:
- The AI solution needs to be compatible with Whole Slide Images (WSI).
- The training of the AI model will be conducted using raw images without annotations.
Ideal Skills and Experience:
- Deep Learning Frameworks: The ideal candidate will have a strong background in using frameworks such as TensorFlow, PyTorch, or Keras.
- Model Development: Hands-on experience with Convolutional Neural Networks (CNNs) and Transfer Learning is a must.
- UI/UX Design: Prior experience in user interface design is an advantage.
This project is a unique opportunity to contribute to a critical health solution, and I look forward to seeing your proposals.