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bkonk's starred repositories

MONAILabel

MONAI Label is an intelligent open source image labeling and learning tool.

Language:PythonApache-2.056200

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Language:PythonMIT776500

The public source code of A.I.Segmentation (AIS) version 1.4.1. AIS is a plugin of OsiriX for macOS enables semantic segmentation of medical images using artificial intelligence (Core ML framework) in macOS.

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nnUNet

Language:PythonApache-2.0525800

dicom2nifti

Language:PythonMIT32500

nibabel

Python package to access a cacophony of neuro-imaging file formats

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NVIDIA_Drivers

A simple bash script for automatic install of the proper nvidia drivers on Debian/ubuntu

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wetectron

Weakly-supervised object detection.

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SegLossOdyssey

A collection of loss functions for medical image segmentation

Language:PythonApache-2.0366500

vanishing-gradients

Avoiding the vanishing gradients problem by adding random noise and batch normalization

Language:PythonGPL-3.0500

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

224700

AIS_Training_Codeset

Python code to train neural network models with your original dataset for semantic segmentation. This codeset also includes a converter to create macOS Core ML models from trained Keras models for A.I.Segmentation.

Language:PythonNOASSERTION1200

coding-interview-university

A complete computer science study plan to become a software engineer.

CC-BY-SA-4.029572100

CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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Weakly-Supervised-Object-Localization

Weakly Supervised Object Localization Papers

16500

mimic-cxr

Code, documentation, and discussion around the MIMIC-CXR database

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keras-preprocessing

Utilities for working with image data, text data, and sequence data.

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focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

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