Deep Learning Model Optimization for Medical Image Analysis

I'm seeking an expert in deep learning, particularly with new models or multi-model architectures, to enhance the accuracy of my project focused on medical image analysis and segmentation.

Key Responsibilities:

Edit and optimize a deep learning model designed for medical image detection and segmentation.

Implement new models or an architecture of multiple models as needed.

Improve the model's accuracy in detecting and localizing structures within medical images.

Utilize nn-UNet for automated segmentation optimization.

Leverage Google Cloud Platform (GCP) for scalable training and deployment.

Ideal candidates will have:

Extensive experience with convolutional neural networks (CNNs) and deep learning techniques.

Strong knowledge of medical image processing, segmentation, and object detection.

Hands-on experience with nn-UNet for segmentation tasks.

Familiarity with Google Cloud Platform (GCP) for model training and deployment.

Please provide examples of past projects that align with this description. Thank you.