Pinned Repositories
Cigaftex.github.io
Coronary-Artery-Tracking-via-3D-CNN-Classification
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')
CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
MedicalNet
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.
pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
segment-open
Segment Source Distribution
SETR
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
torchio
Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.
Cigaftex's Repositories
Cigaftex/Cigaftex.github.io
Cigaftex/Coronary-Artery-Tracking-via-3D-CNN-Classification
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')
Cigaftex/CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
Cigaftex/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Cigaftex/MedicalNet
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.
Cigaftex/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
Cigaftex/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Cigaftex/segment-open
Segment Source Distribution
Cigaftex/SETR
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Cigaftex/torchio
Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.
Cigaftex/Unet-Segmentation-Pytorch-Nest-of-Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Cigaftex/unet-vessel-segmentation
Cigaftex/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch