Processing Whole Slide Images as Tiles
Offered By: DigitalSreeni via YouTube
Course Description
Overview
Learn to process whole slide images using Python in this comprehensive tutorial. Explore techniques for H&E normalization and signal separation using openslide to read and manipulate whole slide images. Extract lower resolution versions for normalization and separate H and E signals. Dive into tile-based processing for entire whole slide images, including extraction, processing, and saving. Gain insights into slide properties, dimensions, and statistical measures. Access accompanying code on GitHub and explore additional resources for deeper understanding of histology slide normalization and nucleus detection in histopathology images. Note that image pyramid reconstruction is not covered, but suggestions for further exploration are provided.
Syllabus
Introduction
Paper
Importing libraries
Extracting slide properties
Printing slide dimensions
Mean and standard deviation
Reading the original tiles
Reading individual tiles
Taught by
DigitalSreeni
Related Courses
Histología básica: los cuatro tejidos fundamentalesUniversitat Autònoma de Barcelona (Autonomous University of Barcelona) via Coursera Human Anatomy: Musculoskeletal Cases
Harvard University via edX Histology: Using Microscopy to Study Anatomy and Identify Disease
The Open University via FutureLearn Introduction à l’histologie : exploration des tissus du corps humain
University of Liège via France Université Numerique Morfo-fisiología cardíaca. Aplicación Clínica
Universidad El Bosque via Miríadax