ArticleInternational journal of molecular sciences2021
Deep Learning in Pancreatic Tissue: Identification of Anatomical Structures, Pancreatic Intraepithelial Neoplasia, and Ductal Adenocarcinoma.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- A comparative analysis of deep learning models for disease classification in multi-organ histopathological images.Scientific reports · 2026Article
- Pancreatic multi structure segmentation on CT using transformer and deep learning approaches.Discover oncology · 2026Article
- Insights into artificial intelligence-based digital pathology in hepatobiliary and pancreatic cancer.Frontiers in oncology · 2026Review
- Multi-class transformer-based segmentation of pancreatic ductal adenocarcinoma and surrounding structures in CT imaging: a multi-center evaluation.Abdominal radiology (New York) · 2026Article
- Article
- Artificial intelligence in pancreatic cancer histopathology and diagnostics - implications for clinical decisions and biomarker discovery?Cell division · 2025Review
- Leveraging pre-trained machine learning models for islet quantification in type 1 diabetes.Journal of pathology informatics · 2025Article
- Diagnosis of Pancreatic Ductal Adenocarcinoma Using Deep Learning.Sensors (Basel, Switzerland) · 2024Article
- Topographic analysis of pancreatic cancer by TMA and digital spatial profiling reveals biological complexity with potential therapeutic implications.Scientific reports · 2024Article
- Information maximization-based clustering of histopathology images using deep learning.PLOS digital health · 2023Article
- Computer image analysis with artificial intelligence: a practical introduction to convolutional neural networks for medical professionals.Postgraduate medical journal · 2023Review
- Identifying Effective Biomarkers for Accurate Pancreatic Cancer Prognosis Using Statistical Machine Learning.Diagnostics (Basel, Switzerland) · 2023Article
- Artificial Intelligence in the Diagnosis and Treatment of Pancreatic Cystic Lesions and Adenocarcinoma.Cancers · 2023Review
- MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and Metastases.Molecules (Basel, Switzerland) · 2022Article
- Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging.Cancers · 2022Review
- Tumour Size and T-Stage in Pancreatic Cancer Resection Specimens Depend on the Pathology Examination Approach.Cancers · 2022Article
- Assessment of glomerular morphological patterns by deep learning algorithms.Journal of nephrology · 2022Article
- Artificial intelligence in pancreatic cancer.Theranostics · 2022Review
- Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections.Frontiers in oncology · 2022Article
- Robust deep learning model for prognostic stratification of pancreatic ductal adenocarcinoma patients.iScience · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Identification of pancreatic ductal adenocarcinoma (PDAC) and precursor lesions in histological tissue slides can be challenging and elaborate, especially due to tumor heterogeneity. Thus, supportive tools for the identification of anatomical and pathological tissue structures are desired. Deep learning methods recently emerged, which classify histological structures into image categories with high accuracy. However, to date, only a limited number of classes and patients have been included in histopathological studies. In this study, scanned histopathological tissue slides from tissue microarrays of PDAC patients (
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