Medical Image Segmentation and Detection of Pathogens company - Konverge.ai
Client: Pathology Lab Service Corporation
Tech Stack: Python , Docker, Git Hub, OpenCV, Flask , MongoDB, Keras, Mask RCNN
Project Abstract: Project aims to increase accuracy of pathologist for detection of Bacteria,Fungus,Yeast pathogens in Patient sample tissue .
>Performed segmentation on slides (images) to create binary masks using OpenCV.
>Successfully developed and trained UNet and Mask-rcnn Deep learning model to perform pixel level
>Learnt and Implemented several state of the art deep learning architecture of CNN, RNN, LSTM, GAN's and RL algorithms. Hands on experience with Image Classification, Object detection, Semantic Segmentation in Python, PyTorch, Tensorflow, Keras, OpenCV.