A multi-pretraining U-Net architecture for semantic segmentation

A multi-pretraining U-Net architecture for semantic segmentation

<p dir="ltr">Pathological cancer research relies heavily on different domain-specific applications including nucleus segmentation from histopathology images. Nucleus segmentation is one of the most challenging tasks because of the many hurdles involved such as masking operations, ina...

Full description

Saved in:
Bibliographic Details
Main Author: Cagla Copurkaya (22502042) (author)
Other Authors: Elif Meric (22502045) (author), Fatma Patlar Akbulut (16303294) (author), Cagatay Catal (6897842) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Oncology and carcinogenesis
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Image segmentation
Non-sequential model
Multi-pretraining
Fine tuning
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items