Ultra high-resolution segmentation of biological images using reduced-memory convolutional neural networks with inter-tile communication

Ultra high-resolution segmentation of biological images using reduced-memory convolutional neural networks with inter-tile communication

Advances in imaging technology continue to outpace the innovations in computing hardware. For some tasks such as object classification this gap presents almost no problem, given that the results are largely unaffected if some pixel data is missing. This task can produce accurate results by shrinking...

Full description

Bibliographic Details
Main Author: Benson, Ezenwoko
Format: Thesis (University of Nottingham only)
Language:English
Published: 2022
Subjects:
deep learning
high-resolution images
convolutional neural networks
global context
Online Access:https://eprints.nottingham.ac.uk/68434/

Similar Items

Similar Items