Deep learning for pancreatic cancer detection: current challenges and future strategies
Author:
Publisher
Elsevier BV
Subject
Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)
Reference10 articles.
1. Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation;Liu;Lancet Digital Health,2020
2. Utility of CT radiomics features in differentiation of pancreatic ductal adenocarcinoma from normal pancreatic tissue;Chu;AJR Am J Roentgenol,2019
3. Application of deep learning to pancreatic cancer detection: lessons learned from our initial experience;Chu;J Am Coll Radiol,2019
4. A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop;Langlotz;Radiology,2019
5. Annotated normal CT data of the abdomen for deep learning: challenges and strategies for implementation;Park;Diagn Interv Imaging,2020
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2. Computer-aided diagnosis for early detection and staging of human pancreatic tumors using an optimized 3D CNN on computed tomography;Multimedia Systems;2023-08-09
3. Artificial Intelligence in the Detection and Surveillance of Cystic Neoplasms;The Pancreas;2023-08-04
4. Pancreatic cancer grading in pathological images using deep learning convolutional neural networks;F1000Research;2022-11-01
5. Pancreatic cancer grading in pathological images using deep learning convolutional neural networks;F1000Research;2021-10-18
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