aaljuhani Goto Github PK

3dshapes

adsimiliarity

Online Advertising research project - Sam Toizer, Asmaa Aljuhani, Scott Neaves collaborators

analyzing_pathology_slides

analyzing_pathology_slides using HistomicsTK api

candidacy-template-osu-cse

clam

Data Efficient & Weakly Supervised Computational Pathology on Whole Slide Images

cse5194-hpdl

cse5559-imaging

deeplearningsarcoma

Code from Foersch et al.

eecs337

projects for winter 2013 at northwestern

exploretweetdata

This is a course project for CS6140 Data Mining class at University of Utah Spring 2017

feature-extraction-and-image-processing-book-examples

Code examples: Feature Extraction and Image Processing in Computer Vision Book

featureextraction

Feature extraction - Image Processing

google-health

he2rna_code

Train a model to predict gene expression from histology slides.

hif2gene

humanpartialposes

Human Partial Parts segmentation

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.

library

library among friends

lineage_server

lostnfound

Project for EECS 330 HCI

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

medical-image-analysis-ipython-tutorials

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.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

recipes

EECS 337 - project 2