maberyick Goto Github PK

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!

bmi-500-2022

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.

code_demo_ccir_2024

A short compilation of coding script tasks for summer CCIR 2024

deid-2022

DeId Code for BMI 500 Fall 2022

epistroma_he_dl_v2

DL model for segmentation on H&E-stained digitized images of Epithelium-Stroma tissue segments.

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.

immune_image_translation

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.

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.

phenotil

Phenotypic features from Tumor-Infiltrating Lymphocytes (TIL) on H&E images.

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

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.

rpi-epoc

Python-based repository for raspberry pi and epoc for the manipulation of a robotic arm.

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).