Name: Abraham George Smith
Type: User
Company: University of Copenhagen
Bio: Developing RootPainter and RootPainter3D for radiation oncology and plant science | Deep learning | Interactive machine learning | Phenotyping
Twitter: Abe_404
Abraham George Smith's Projects
A curated list of awesome data labeling tools
A framework for data augmentation for 2D and 3D image classification and segmentation
scripts to work with evaluation of dose summation reproducibility
convert dicom to numpy
Create a HU 3000 outline in a dicom scan using a specified structure
Various utilities created to help with the interpretation of dicom images/RT Structures
The fastai deep learning library, plus lessons and tutorials
mask an image
Deep Learning for humans
second attempt at doing learn c the hard way
Localise to segment: crop to improve organ at risk segmentation accuracy
Convert numpy mask to dicom rtstruct
Mock 'http' objects for testing Express routing functions
Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.
Experiments with Group Equivariant Convolutions in PyTorch
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy
Sparse binary data compression
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Code for the paper "Segmentation of Roots in Soil with U-Net"
Time tasks and save data to a CSV.
Computation using data flow graphs for scalable machine learning
Utility to generate PGF vector files from Python's Matplotlib plots to use in LaTeX documents.
a repo for a recruitment task