MyrnaQiu

Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

DBI_loss

Dynamic Boundary-Insensitive Loss for MR Medical Image Segmentation

medicaldetectiontoolkit

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.

nnUNet

pythonStudy

study python3

MyrnaQiu/DBI_loss

Dynamic Boundary-Insensitive Loss for MR Medical Image Segmentation

MyrnaQiu/medicaldetectiontoolkit

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.

MyrnaQiu/Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

MyrnaQiu/nnUNet

MyrnaQiu/pythonStudy

study python3