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jiantao zhang's Projects

medicalzoopytorch icon medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

mnist-residual-inception icon mnist-residual-inception

Residual Block and Inception Module implementations of a Convolutional Neural Network for MNIST classification.

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

optic-disc-unet icon optic-disc-unet

Attention Unet model with post process for retina optic disc segmention

prmlt icon prmlt

Matlab code for machine learning algorithms in book PRML

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

python icon python

All Algorithms implemented in Python

pytorch-unet icon pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

retina-unet icon retina-unet

Retina blood vessel segmentation with a convolutional neural network

retinal-vessel-segmentation-with-rotation-augmentation icon retinal-vessel-segmentation-with-rotation-augmentation

The code for paper "DATA AUGMENTATION IS MORE IMPORTANT THAN MODEL ARCHITECTURES FOR RETINAL VESSEL SEGMENTATION " We utilize the retina-unet "https://github.com/orobix/retina-unet" as the basic code, but we change a lot of code and add the rotation augmentation ,which achieves the good result AUC 0.9814.

semseg icon semseg

常用的语义分割架构结构综述以及代码复现

unet icon unet

Keras implementation of a 2D/3D U-Net with Additive Attention, Inception, and Recurrence functions provided

unet-using-dense-layer icon unet-using-dense-layer

Basically, I implemented U-Net architecture using Dense-Blocks instead of Convolution layers and also added a Dilated Spatial Pooling Layer in the BottleNeck layer

v-gan-tensorflow icon v-gan-tensorflow

A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"

vessel-wgan-pytorch icon vessel-wgan-pytorch

An implementation of《Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks》

vgn icon vgn

Deep Vessel Segmentation by Learning Graphical Connectivity

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