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Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography
- Source :
- Cancers, 14, 2, Cancers, 14, Cancers, Cancers; Volume 14; Issue 2; Pages: 376, Cancers, Vol 14, Iss 376, p 376 (2022)
- Publication Year :
- 2021
- Publisher :
- Preprints, 2021.
-
Abstract
- Simple Summary Early image-based diagnosis is crucial to improve outcomes in pancreatic ductal adenocarcinoma (PDAC) patients, but is challenging even for experienced radiologists. Artificial intelligence has the potential to assist in early diagnosis by leveraging high amounts of data to automatically detect small (
- Subjects :
- FOS: Computer and information sciences
Cancer Research
medicine.medical_specialty
Pancreatic ductal adenocarcinoma
Computer Vision and Pattern Recognition (cs.CV)
Computer Science - Computer Vision and Pattern Recognition
pancreatic ductal adenocarcinoma
Early detection
Computed tomography
Quantitative Biology - Quantitative Methods
deep-learning
Article
All institutes and research themes of the Radboud University Medical Center
FOS: Electrical engineering, electronic engineering, information engineering
Medicine
Segmentation
early detection
RC254-282
Quantitative Methods (q-bio.QM)
oncology_oncogenics
medicine.diagnostic_test
Receiver operating characteristic
business.industry
Deep learning
Image and Video Processing (eess.IV)
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Electrical Engineering and Systems Science - Image and Video Processing
medicine.anatomical_structure
Oncology
Urological cancers Radboud Institute for Health Sciences [Radboudumc 15]
FOS: Biological sciences
Fully automatic
Artificial intelligence
Radiology
business
Pancreas
Rare cancers Radboud Institute for Health Sciences [Radboudumc 9]
Subjects
Details
- Language :
- English
- ISSN :
- 20726694
- Database :
- OpenAIRE
- Journal :
- Cancers, 14, 2, Cancers, 14, Cancers, Cancers; Volume 14; Issue 2; Pages: 376, Cancers, Vol 14, Iss 376, p 376 (2022)
- Accession number :
- edsair.doi.dedup.....9c2b4611d95c7470e1f3e95a5c0dca54