Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically
detected late and at an inoperable stage. Early or incidental detection is associated with …
detected late and at an inoperable stage. Early or incidental detection is associated with …
Fully automatic deep learning framework for pancreatic ductal adenocarcinoma detection on computed tomography
Simple Summary Early image-based diagnosis is crucial to improve outcomes in pancreatic
ductal adenocarcinoma (PDAC) patients, but is challenging even for experienced …
ductal adenocarcinoma (PDAC) patients, but is challenging even for experienced …
Application of deep learning to pancreatic cancer detection: lessons learned from our initial experience
Excitement has been steadily growing over the promise of artificial intelligence (AI) for
radiology. Deep learning, a form of AI, uses training data and multiple layers of equations to …
radiology. Deep learning, a form of AI, uses training data and multiple layers of equations to …
Pancreatic cancer detection on CT scans with deep learning: a nationwide population-based study
Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at
abdominal CT. Purpose To develop and to validate a deep learning (DL)–based tool able to …
abdominal CT. Purpose To develop and to validate a deep learning (DL)–based tool able to …
Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation
Background The diagnostic performance of CT for pancreatic cancer is interpreter-
dependent, and approximately 40% of tumours smaller than 2 cm evade detection …
dependent, and approximately 40% of tumours smaller than 2 cm evade detection …
Deep learning–based detection of solid and cystic pancreatic neoplasms at contrast-enhanced CT
Background Deep learning (DL) may facilitate the diagnosis of various pancreatic lesions at
imaging. Purpose To develop and validate a DL-based approach for automatic identification …
imaging. Purpose To develop and validate a DL-based approach for automatic identification …
Automatic pancreatic ductal adenocarcinoma detection in whole slide images using deep convolutional neural networks
H Fu, W Mi, B Pan, Y Guo, J Li, R Xu, J Zheng… - Frontiers in …, 2021 - frontiersin.org
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancer types worldwide,
with the lowest 5-year survival rate among all kinds of cancers. Histopathology image …
with the lowest 5-year survival rate among all kinds of cancers. Histopathology image …
Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis
T Tong, J Gu, D Xu, L Song, Q Zhao, F Cheng, Z Yuan… - BMC medicine, 2022 - Springer
Background Accurate and non-invasive diagnosis of pancreatic ductal adenocarcinoma
(PDAC) and chronic pancreatitis (CP) can avoid unnecessary puncture and surgery. This …
(PDAC) and chronic pancreatitis (CP) can avoid unnecessary puncture and surgery. This …
Radiomic features at CT can distinguish pancreatic cancer from noncancerous pancreas
PT Chen, D Chang, H Yen, KL Liu… - Radiology: Imaging …, 2021 - pubs.rsna.org
Purpose To identify distinguishing CT radiomic features of pancreatic ductal
adenocarcinoma (PDAC) and to investigate whether radiomic analysis with machine …
adenocarcinoma (PDAC) and to investigate whether radiomic analysis with machine …
[HTML][HTML] Early detection of pancreatic cancer: opportunities and challenges
Most patients with pancreatic ductal adenocarcinoma (PDAC) present with symptomatic,
surgically unresectable disease. Although the goal of early detection of PDAC is laudable …
surgically unresectable disease. Although the goal of early detection of PDAC is laudable …