Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions
Authors
Keywords
-
Journal
Scientific Reports
Volume 9, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-05-03
DOI
10.1038/s41598-019-43314-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis
- (2018) Peng-Jen Chen et al. GASTROENTEROLOGY
- Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
- (2017) Michael F Byrne et al. GUT
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images
- (2017) Satoki Shichijo et al. EBioMedicine
- Big Data and machine learning in radiation oncology: State of the art and future prospects
- (2016) Jean-Emmanuel Bibault et al. CANCER LETTERS
- Diagnostic Accuracy of Endoscopic Ultrasound-Guided Fine-Needle Aspiration Cytology, Carcinoembryonic Antigen, and Amylase in Intraductal Papillary Mucinous Neoplasm
- (2016) Maria Moris et al. PANCREAS
- Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
- (2016) Geert Litjens et al. Scientific Reports
- Clinicopathologic Characteristics of 29 Invasive Carcinomas Arising in 178 Pancreatic Mucinous Cystic Neoplasms With Ovarian-type Stroma
- (2015) Kee-Taek Jang et al. AMERICAN JOURNAL OF SURGICAL PATHOLOGY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Peritoneal seeding in intraductal papillary mucinous neoplasm of the pancreas patients who underwent endoscopic ultrasound-guided fine-needle aspiration: The PIPE Study
- (2014) Won Yoon et al. ENDOSCOPY
- Combination of cyst fluid CEA and CA 125 is an accurate diagnostic tool for differentiating mucinous cystic neoplasms from intraductal papillary mucinous neoplasms
- (2014) Yoshikuni Nagashio et al. PANCREATOLOGY
- Branch Duct Intraductal Papillary Mucinous Neoplasms
- (2013) Klaus Sahora et al. ANNALS OF SURGERY
- Cyst carcinoembryonic antigen in differentiating pancreatic cysts: A meta-analysis
- (2013) Saowanee Ngamruengphong et al. DIGESTIVE AND LIVER DISEASE
- International consensus guidelines 2012 for the management of IPMN and MCN of the pancreas
- (2013) Masao Tanaka et al. PANCREATOLOGY
- Invasive mucinous cystic neoplasms of the pancreas
- (2012) Michael L. Baker et al. EXPERIMENTAL AND MOLECULAR PATHOLOGY
- Endoscopic ultrasound-guided fine-needle aspiration of pancreatic cystic lesions provides inadequate material for cytology and laboratory analysis: initial results from a prospective study
- (2011) K. de Jong et al. ENDOSCOPY
- Cyst Fluid Carcinoembryonic Antigen Is an Accurate Diagnostic Marker of Pancreatic Mucinous Cysts
- (2011) Sevdenur Cizginer et al. PANCREAS
- Pancreatic lymphoepithelial cysts express CEA and can contain mucous cells: potential pitfalls in the preoperative diagnosis
- (2010) Jay S Raval et al. MODERN PATHOLOGY
- Diagnostic Performance of Cyst Fluid Carcinoembryonic Antigen and Amylase in Histologically Confirmed Pancreatic Cysts
- (2010) Walter Gwang-Up Park et al. PANCREAS
- Clinicopathological Features and Prognosis of Mucinous Cystic Neoplasm With Ovarian-Type Stroma
- (2010) Kenji Yamao et al. PANCREAS
- Serous cystadenoma of the pancreas
- (2008) Nicole A. Belsley et al. CANCER
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now