Lipid droplet detection in histopathological images using reinforcement learning
The identification and analysis of lipid droplets in pathological images are pivotal owing to the variations in their size, shading and shape. The development of an artificial intelligence-based automatic detection method can facilitate the analysis of complex pathological images and provide essenti...
Saved in:
Main Authors: | Yoshitomi Harada, Haruto Nishida, Keiko Matsuura |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2024-12-01
|
Series: | Biotechnology & Biotechnological Equipment |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/13102818.2024.2338433 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lipid droplets in central nervous system and functional profiles of brain cells containing lipid droplets in various diseases
by: Longxiao Zhang, et al.
Published: (2025-01-01) -
Optimized methods to image hepatic lipid droplets in zebrafish larvae
by: Nouf Khan, et al.
Published: (2024-11-01) -
Lipid droplet biogenesis in the ovary
by: Megumi Ibayashi, et al.
Published: (2024-01-01) -
Involvement of a battery of investigated genes in lipid droplet pathophysiology and associated comorbidities
by: Sami N. Al Harake, et al.
Published: (2024-12-01) -
Targeted biosensors for intracellular lipid droplet content detection
by: Shengdong Li
Published: (2024-12-01)