Deep Learning Approaches for Morphological Classification of Intestinal Organoids

Deep Learning Approaches for Morphological Classification of Intestinal Organoids

Organoids, derived from primary donor or stem cells, closely replicate the composition and function of their in vivo counterparts. This quality makes them a reliable model for validating hypotheses on disease-related biological processes and mechanisms. To date, the classification of organoids is pe...

Full description

Saved in:
Bibliographic Details
Main Authors: Giovanni Cicceri, Sebastiano Di Bella, Simone Di Franco, Giorgio Stassi, Matilde Todaro, Salvatore Vitabile
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
image classification
intestinal organoids
stem cells
cancer
Online Access:https://ieeexplore.ieee.org/document/10955206/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10955206/

Similar Items