Cristian Barrera's repositories
EpiStroma_HE_DL_V2
DL model for segmentation on H&E-stained digitized images of Epithelium-Stroma tissue segments.
periNuclearHE
Set of features extracted from Whole Slide images (WSI) patches, related to the perimetral tissue region surrounding individual tumor cells, as well as the cell morphometrics.
pyWSISTATS
A statistical approach to analyze Whole Slide Images, related to the useability of the images, most significant and useful patch-based regions, and generation of instructive and informative graphs.
badgecreatr
Quickly place relevant badges at the top of your readme, stop copy pasting, start on your project
badger
Badge for R Package
Best-README-Template
An awesome README template to jumpstart your projects!
CellDiversityRao
The application of Rao diversity metric to measure the environmental heterogeneity of specific immune cells.
cellFeaturesHE
Cell features from HE-stained images regarding nuclei shape, texture and such.
DEID-2022
DeId Code for BMI 500 Fall 2022
EpiStromaHEDL
Epithelium-Stroma segmentation on digitized H&E-stained images, using a deep learning model (DL), generative adversarial network (GAN).
HistoQC
HistoQC is an open-source quality control tool for digital pathology slides
HistoTIL
Morphological feature tools consisting of description of tumor-infiltrating lymphocytes (TILs) density and spatial arrangement on H&E-stained biopsy samples. Also nuclei features of quantification invloving shape and texture of non-TIL cells (tumor cells) and contextual description of similarities and differences of neighboring cells.
icon-sdk-python
ICON SDK for Python
Icons-for-MATLAB
Hi-res professional icons for use in MATLAB, Simulink, presentations, web, etc.
LympDetect_HE_ML_V2
ML model in MATLAB to detect and differentiate lymphocyte from other cells (non-lymphocytes) on H&E-stained digitized images.
maberyick
Config files for my GitHub profile.
nlp
My explorations in natural language processing
nucleiSegmentationHEDL
Nuclei segmentation performed on the digitized H&E-stained images of whole slide images (WSI). It is a deep learning model (DL) based on a GAN architecture.
pyramidpix2pix
a fork from the project pyramidal pix2pix for training different segmentation models.
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
SIMBIO-USCO
Semillero de Ingenieria electronica sobre Ing. Biomedica en la Universidad Surcolombiana
spectralrao
Applying Rao's index to remote sensing data
tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
TumorSegmentationHE_UNET
Tumor segmentation on H&E-stained images based on UNET
TumorSegmentationHEDL
A deep learning (DL) model for detect tumor regions on H&E-stained, digitized whole slide images (WSI).
unet
unet for image segmentation