|Title:||Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation||Authors:||KAO-LANG LIU
Tsai, Yuhsiang M
|Issue Date:||2020||Journal Volume:||2||Journal Issue:||6||Source:||The Lancet. Digital health||Abstract:||
The diagnostic performance of CT for pancreatic cancer is interpreter-dependent, and approximately 40% of tumours smaller than 2 cm evade detection. Convolutional neural networks (CNNs) have shown promise in image analysis, but the networks' potential for pancreatic cancer detection and diagnosis is unclear. We aimed to investigate whether CNN could distinguish individuals with and without pancreatic cancer on CT, compared with radiologist interpretation.
|Appears in Collections:||醫學院附設醫院 (臺大醫院)|
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