Open Source

Tools

2021-04-12: SAINT (tool for super-resolution)

This is the PyPI package for the SAINT (Spatially Aware Interpolation NeTwork for Medical Slice Synthesis), you can execute the command “pip install py_saint” to install it. Just follow the description(https://pypi.org/project/py-SAINT/) if you have any questions while you are using this package.

Citation: C. Peng, W.-A. Lin, H. Liao, R. Chellappa, S. Kevin Zhou, “SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis,” in IEEE CVPR, pp. 7747-7756, 2020.

Datasets

· CTPelvic1K

Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.

· CTFilm20K CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models DATASET: LINK passwd: 7ou3

· CTSpine1K

Resources of the paper “CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography”.

RLLS12M DATASET

MIRACLE Robotic Left Lateral Sectionectomy 12M

Code

· GSKET

Code of the paper “Knowledge Matters: Radiology Report Generation with General and Specific Knowledge”. (Yang et al.， Medical Image Analysis，2022)

· YOLO_Universal_Anatomical_Landmark_Detection

PyTorch implementation for learning a universal model for anatomical landmark detection on mixed datasets. (Zhu et al. You Only Learn Once: Universal Anatomical Landmark Detection. MICCAI 2021)

· CXIQ

Code and dataset for “Perceptual Quality Assessment of ChestRadiograph”, MICCAI 2021.

· Oneshot_landmark_detection

Code of the paper “One-shot medical landmark detection”, MICCAI 2021.

· Hierarchical_Feature_Constraint

Code of the paper “A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks”, MICCAI 2021 (AC Track 1/18).

· DecGAN: Chest X-ray Bone Suppression

DecGAN decomposes X-ray into separate components by taking advantage of the unpaired 3D knowledge from CT in the framework of the generative adversarial network (GAN). MICCAI 2019.

· DuDoNet

Code of the preparing metal artifact dataset in DuDoNet and DuDoNet++.

· Cuda Spatial Deform

A fast tool to do image augmentation by CUDA on GPU.

· Miss the point

Code of the paper “Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection”. MICCAI 2020.

· Universal U-Net

Code of the paper: “3D U²-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation.” MICCAI 2019.

· Marginal and Exclusion Loss

Code of the proposed Marginal loss and exclusion loss for partially supervised multi-organ segmentation, MIA 2021.

· Bounding Map

Code of the implementation of Bounding Map in MVP-Net. MICCAI 2020.