by Fei.Hu1@ibm.com | Published November 15, 2018
This series shows how one team used Python, with packages such as NumPy and scikit-image, for tissue segmentation in whole-slide images. Using OpenSlide to scale down the slides to efficiently process images in the data set as well as NumPy arrays, they investigated a wide variety of image filters and settled on a combination and series of filters that demonstrated fast, acceptably accurate tissue segmentation for the data set.
Learn how one team developed algorithms to automatically identify tissues from big whole-slide images.
July 28, 2019
Adversarial Robustness ToolboxAI Fairness 360+
July 4, 2019
September 20, 2019
Back to top