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Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients...

Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a19a493caa084001a45146bb529d450c

Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases

Publication information

Publisher

Vienna: Springer Vienna

More information

Scope and Contents

Contents

Background
We developed models for tumor segmentation to automate the assessment of total tumor volume (TTV) in patients with colorectal liver metastases (CRLM).
Methods
In this prospective cohort study, pre- and post-systemic treatment computed tomography (CT) scans of 259 patients with initially unresectable CRLM of the CAIRO5 trial (NCT...

Alternative Titles

Full title

Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a19a493caa084001a45146bb529d450c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a19a493caa084001a45146bb529d450c

Other Identifiers

ISSN

2509-9280

E-ISSN

2509-9280

DOI

10.1186/s41747-023-00383-4

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