Papers matching “histopathology image analysis” 125
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Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access
Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof
2citations -
Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects2025 Medical Image Analysis article Computer Science Domain Adaptation and Few-Shot Learning Open access
Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof
26citations -
Encrypted federated learning for secure decentralized collaboration in cancer image analysis2023 Medical Image Analysis article Computer Science Privacy-Preserving Technologies in Data Open access
Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Anton Müller‐Franzes, Firas Khader, Philip Quirke, +21 more
90citations -
Semiautomated pipeline for quantitative analysis of heart histopathology2023 Journal of Translational Medicine article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Patrick Droste, Dickson W.L. Wong, Mathias Hohl, Saskia Freifrau von Stillfried, Barbara M. Klinkhammer, Peter Boor
11citations -
The medicolegal burden in neurosurgery: an analysis of closed malpractice claims in the Netherlands between 2007 and 20172022 Brain and Spine article Health Professions Medical Malpractice and Liability Issues Open access
Wouter J. Dronkers, D. Buis, Q. Amelink, V.E. Staartjes, G.-J. Bouma, C. Dirven, +4 more
0citations -
Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection Open access
Fatemeh Javadian, Zahra Aminparast, Johannes Stegmaier, Abin Jose
0citations -
Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application
Amelie Echle, Narmin Ghaffari Laleh, Philip Quirke, Heike Irmgard Grabsch, Hannah Sophie Muti, Oliver Lester Saldanha, +32 more
112citations -
Stain-Independent Segmentation and Quantification of Kidney Histopathology Using Deep Learning2022 Journal of the American Society of Nephrology conference-abstract Computer Science AI in cancer detection
Peter Boor, David Laurin Hölscher, Barbara M. Klinkhammer, Roman David Bülow, Johannes Lotz, Nick Weiss, +3 more
0citations -
The Aachen Protocol for Deep Learning Histopathology: A hands-on guide for data preprocessing2020 Zenodo (CERN European Organization for Nuclear Research) article Computer Science AI in cancer detection Open access
Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Lara Rosaline Heij, Roman David Buelow, Jeremias Krause, +8 more
29citations -
Benchmarking artificial intelligence methods for end-to-end computational pathology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, +17 more
15citations -
Deep Learning–Based Segmentation and Quantification in Experimental Kidney Histopathology2020 Journal of the American Society of Nephrology article Computer Science AI in cancer detection Open access
Nassim Bouteldja, Barbara M. Klinkhammer, Roman David Bülow, Patrick Droste, Simon Otten, Saskia Freifrau von Stillfried, +12 more
187citations