Holliemin9090

Holliemin9090

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Mammographic-mass-CAD-via-pseudo-color-mammogram-and-Mask-R-CNN

Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN

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agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

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boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

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brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

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brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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docs

TensorFlow documentation

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dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

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early-stopping-pytorch

Early stopping for PyTorch

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EfficientUnet-PyTorch

A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder

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keras-yolo3-1

A Keras implementation of YOLOv3 (Tensorflow backend)

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neurite

Neural networks toolbox focused on medical image analysis

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platipy

Processing Library and Analysis Toolkit for Medical Imaging in Python

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probabilistic_unet

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

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Pytorch-CapsuleNet

An easy-to-follow Pytorch implementation of Hinton's Capsule Network

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pytorch-cifar

95.47% on CIFAR10 with PyTorch

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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Pytorch-UNet-1

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

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pytorch-YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

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PyTorch_YOLOv4

PyTorch implementation of YOLOv4

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ResUnet

Pytorch implementation of ResUnet and ResUnet ++

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roc-star

Loss function which directly targets ROC-AUC

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SegLoss

A collection of loss functions for medical image segmentation

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SegWithDistMap

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

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surface-distance

Library to compute surface distance based performance metrics for segmentation tasks.

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TCIApathfinder

R client for The Cancer Imaging Archive REST API

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tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

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yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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