The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Open solution to the Google AI Object Detection Challenge 🍁

Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.

PyTorch implementation of RetinaNet

Build Environment in Docker

Employ SSD and RetinaNet for Standard Panel Detecion in US Image

Implementation of Object Detection Models (in progress)

malaria detection using retinanet object detection