The project aimed to assist radiologists while examining Mammogram images in estimating cancerous categorization. The cancerous findings will be annotated on the mammogram image and a description of the identified cancerous findings will be mentioned.

  Responsibilities:

• Developed deep learning models for segmentation, detection and classify the presence of the abnormalities.
• Worked on the image processing algorithms and pre-processing techniques for the deep learning models.
• Worked on machine learning approach like decision trees
• Deploying the AI models in the server.

The project aimed to assist radiologists while examining CT chest images for anomaly categorization. The anomaly findings will be annotated on the CT Chest images.

Responsibilities:

•  Developing 3D deep learning models for segmentation and detection of the abnormalities.
•  Working on the pre-processing techniques for the deep learning models