📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Hyper-Dense_Lung_Seg: Multimodal-Fusion-Based Modified U-Net for Lung Tumour Segmentation Using Multimodality of CT-PET Scans. (2023)

First Author: Alshmrani GM

Attributed to: Privacy-Protected Human Identification in Encrypted/Transformed Domains funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3390/diagnostics13223481

PubMed Identifier: 37998617

Publication URI: http://europepmc.org/abstract/MED/37998617

Type: Journal Article/Review

Volume: 13

Parent Publication: Diagnostics (Basel, Switzerland)

Issue: 22

ISSN: 2075-4418