Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
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.
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
