xiaochengcike,github

petctomics

Perform radiomics-oriented learning using PET, CT, or MRI images

pfenet

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

phiseg-code

Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019

pixel-constrained-cnn-tf

TensorFlow implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting :art:

pixel_link

Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

pns-net

2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation

pointer-based-segmentation-find-segment-containing-given-image-point-witin-given-roi-mask-using-cnn

Category independent sequential image segmentation. Find a segment containing a given image pixel within a given attention mask using a convolutional neural network (CNN), and its application for sequential region-by-region instance-aware segmentation of images with unfamiliar categories.

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

polyp-pvt

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers (arXiv2021)

portrait-matting-unet-flask

Portrait Mating implementation in UNet with PyTorch.

possibilistic-fuzzy-c-means

Code for Interval Type-2 and General Type-2 PFCM

pranet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral)

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

prml

PRML algorithms implemented in Python

prmlt

Matlab code for machine learning algorithms in book PRML

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probabilistic-segmentation

Probabilistic U-net

probabilistic-unet-pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

probabilistic_unet-1

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

probabilistic_unet-2

demo program for probabilistic UNet model

products

野火所有产品资料的下载链接

promise12_segmentation

Codes that I have written to complete promise12 prostate segmentation competition.

prostate_and_pz_dl_segmentation_code

This code contains a test case of a 3D CNN used for Prostate and Peripheral Zone segmentation

prostate_segmentation

NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

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