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A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Image...

A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Image...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ccceeb6cd9d0491ab4e744d312c27aa3

A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images

About this item

Full title

A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-01, Vol.22 (2), p.523

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Multi-modal three-dimensional (3-D) image segmentation is used in many medical applications, such as disease diagnosis, treatment planning, and image-guided surgery. Although multi-modal images provide information that no single image modality alone can provide, integrating such information to be used in segmentation is a challenging task. Numerous...

Alternative Titles

Full title

A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ccceeb6cd9d0491ab4e744d312c27aa3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ccceeb6cd9d0491ab4e744d312c27aa3

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22020523

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