Asmaa Aljuhani's repositories
analyzing_pathology_slides
analyzing_pathology_slides using HistomicsTK api
ExploreTweetData
This is a course project for CS6140 Data Mining class at University of Utah Spring 2017
HumanPartialPoses
Human Partial Parts segmentation
DeepLearningSarcoma
Code from Foersch et al.
Feature-Extraction-and-Image-Processing-Book-Examples
Code examples: Feature Extraction and Image Processing in Computer Vision Book
FeatureExtraction
Feature extraction - Image Processing
HE2RNA_code
Train a model to predict gene expression from histology slides.
image_slicer
Split images into tiles. Join the tiles back together.
importer_test
testing Phovea importer
label-coach
An Image labelling platform as a web app to enable training of deeplearning models.
ML_project
Machine Learning Model to classify detect Mitoses cell structures
NucleiSegmentation
cGAN-based Multi Organ Nuclei Segmentation
phovea_core
Phovea core includes the plugin registry, data definition (+ common types: tables, matrix, vector, stratification), ajax, selections
py-wsi
Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.
Supervised_Cluster_Evaluation
Allows to view the underlying structure of the data with respect to the ground truth labels