Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction

Abstract Early diagnosis and accurate prognosis of colorectal cancer is critical for determining optimal treatment plans and maximizing patient outcomes, especially as the disease progresses into liver metastases. Computed tomography (CT) is a frontline tool for this task; however, the preservation...

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Hlavní autoři:	Christopher Wiedeman, Peter Lorraine, Ge Wang, Richard Do, Amber Simpson, Jacob Peoples, Bruno De Man
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SpringerOpen 2024-06-01
Edice:	Visual Computing for Industry, Biomedicine, and Art
Témata:	Radiomics Deep learning Computed tomography Colorectal liver metastases Virtual clinical trials Image reconstruction
On-line přístup:	https://doi.org/10.1186/s42492-024-00161-y
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