Validation of digital pathology imaging for primary histopathological diagnosis
Snead, David R J, Tsang, Yee‐Wah, Meskiri, Aisha, Kimani, Peter K, Crossman, Richard, Rajpoot, Nasir M, Blessing, Elaine, Chen, Klaus +11 more·2016·Histopathology
Cited by (237)
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- Artificial intelligence in diagnostic and predictive pathologyChiara Frascarelli, Nicola Fusco, Gianluca Gaetano Vago · 2024 · Elsevier eBooks
- PMIQD 2019: A Pathological Microscopic Image Quality Database with Nonexpert and Expert ScoresShuning Xu, Menghan Hu, Wangyang Yu, Jianlin Feng, Qingli Li · 2020 · Communications in computer and information science
- Update Concerning Digital Pathology and Artificial Intelligence ApplicationWataru Uegami, Taro Sakamoto, Kishio Kuroda, Junya Fukuoka · 2020 · Haigan
- Commentary: Can pathologists interpret digital images as well as they interpret microscope slides?Thomas W. Bauer · 2016 · Journal of Pathology Informatics
- Commentary: Whole-slide Images – Good Enough for Primary Diagnosis?Thomas W. Bauer · 2018 · Journal of Pathology Informatics
- Computational pathology and the understanding of disease2019 · The Journal of Pathology
- Digital quantification of chronic gastric wall inflammation in asymptomatic bariatric patients after laparoscopic sleeve gastrectomyCamelia Doina Vrabie, Bogdan Florin GEAVLETE, Marius Gangal · 2020 · medRxiv
- PTH-118 Histopathologist features predictive of diagnostic concordance amongst an international sample of pathologists diagnosing barrett’s dysplasiaHelen G. Coleman, Myrtle J. van der Wel, Marnix Jansen, Sybren Lodewijk Meijer, BOLEROStudy group · 2018
- Deep Learning Strategies for Overcoming Diagnosis Challenges with Limited AnnotationsMaria Rocio Del Amor · 2023
- Immunotherapy Efficacy Prediction in Cancer: An Artificial Intelligence Approach with Unannotated H&E Whole-Slide ImagesGabriel Domínguez Conde, Talha Qaiser, Evan Wu, Carlos Eduardo de Andrea, Jennifer Shields, Ronen Artzi, Harish RaviPrakash, Kenneth Irabor, Paul Metcalfe, Joachim Reischl · 2024 · medRxiv
- Digital Pathology in the Clinic: Training, Validation and Patient SafetyBethany Jill Williams · 2020 · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
- Peer Review #2 of "Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks (v0.1)"2019 · PeerJ
- Peer Review #1 of "Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks (v0.1)"2019 · PeerJ
- Peer Review #1 of "Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks (v0.2)"2019 · PeerJ
- Peer Review #2 of "Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks (v0.2)"2019 · PeerJ
- Visualizing Analog and Digital Diagnostic Provenance in PathologyKimberly L. Ashman, Brian Summa, Sharon Fox, Jonathon Quincy Brown · 2022 · Optics in the Life Sciences
- piNET: An Automated Proliferation Index Calculator Framework for Ki67 Breast Cancer ImagesStephny Geread · 2022
- piNET: An Automated Proliferation Index Calculator Framework for Ki67 Breast Cancer ImagesStephny Geread · 2022
- Remote Rapid Intraoperative Diagnosis Support System Using the Remote DesktopMotohiro Chosokabe, Yasushi Ariizumi, Junki Koike · 2022 · Mathews Journal of Cancer Science
- Classification of colon cancer by using cnn and capsule neural network2023 · International Journal of Development Research
- Auswirkungen vorgeschalteter Laborprozesse auf die Digitalisierung histologischer SchnittpräparateLeander Schwaibold, Sven Mattern, Markus Mählmann, Leon Lobert, Thomas M. Breunig, Christian M. Schürch · 2024 · Die Pathologie
- Digital Pathology, Deep Learning, and Cancer: A Narrative ReviewDarnell K. Adrian Williams, Gillian Graifman, Nowair Hussain, Maytal Amiel, Tran Priscilla, Arjun Reddy, Ali Haider, Bali Kumar Kavitesh, Austin Li, Leael Alishahian et al. · 2024 · medRxiv
- piNET: An Automated Proliferation Index Calculator Framework for Ki67 Breast Cancer ImagesStephny Geread · 2024
- 3 Utilization of Digital Pathology for Medical Autopsy: A Single Institution ExperienceIshaq Azeem Asghar, Hanae Benchbani, Abdalla Abdalla, Khela R. Pursell, Larissa Skarvinko, Bryan J. Dangott, JORDAN P. REYNOLDS, Aziza Nassar, Mark Edgar, Shahrier Amin · 2025 · Laboratory Investigation
- Digital Pathology: Past, Present and FutureS. D. Babar, Muhammad Aslam · 2025 · British Journal of Hospital Medicine
- Ki67 in cytological specimens of pancreatic neuroendocrine tumors: A literature review and validation of automated quantificationSahar Narimani, Sophie Pirenne, Birgit Weynand · 2025 · Journal of Pathology Informatics
- Implementation of Digital Pathology Workflow for Routine Primary Diagnosis in a Large Private Hospital NetworkDeniz Bayçelebi, Emre Karakök, Serdar Balcı, Fatma Aktepe, Gülen Doğusoy, Ipek Coban Elbegi, Pembe Gul Gunes, Yıldırım Karslıoğlu, Sezen Koçarslan, Fatma Gülgün KOÇAK et al. · 2026 · Apmis
- ОБРАЗОВАТЕЛЬНО-ИССЛЕДОВАТЕЛЬСКАЯ ИНТЕГРИРОВАННАЯ ПЛАФОРМА ПОДДЕРЖКИ ПРИНЯТИЯ ВРАЧЕБНЫХ РЕШЕНИЙ НА ОСНОВЕ ИНТЕЛЛЕКТУАЛЬНОГО АНАЛИЗА ГИСТОЛОГИЧЕСКИХ ДАННЫХ. СОЗДАНИЕ НЕЙРОСЕТЕВОЙ МОДЕЛИ ДЛЯ ОЦЕНКИ МОРФОЛОГИЧЕСКИХ ИЗМЕНЕНИЙ ЛЕГКИХ ПРИ КОРОНАВИРУСНОЙ ИНФЕКЦИИ COVID-19В. Р. Хонов, А. П. Кукареко · 2023 · Смоленский медицинский альманах
- Comparison of digital and optical microscopy for the evaluation of veterinary blood films: a preliminary studySusan N. Anderson, Madhumitha Sivakumaran, Trey L. DeJong, Mara S. Varvil · 2026 · Journal of Veterinary Diagnostic Investigation
- Histological grading of invasive breast carcinoma in the digital era: a practical framework for whole slide imagingEmad A. Rakha · 2026 · Histopathology
- Advancing hirschsprung disease diagnosis: a systematic review of the development and application of artificial intelligence in histopathological analysisJia Hui Wan, Khairunnisa Binti Hasikin, Kein-Seong Mun, Yew‐Wei Tan · 2026 · Pediatric Surgery International
- Bridging the digital pathology divide: reciprocal learning between high-resource and low-resource settingsKamran Mirza, Arvind Rao, Jessica A Baker, Robert K. Parker, Shane C. Quinonez, Priscilla Njenga, Mansoor Noorali Saleh, Ulysses J. Balis, Akbar K. Waljee, Shahin Sayed · 2026 · BMJ Digital Health & AI
- Digital pathology, image analysis, and artificial intelligence in liver diseaseClare McGenity, Darren E. Treanor, Tomáš Slavík, Robert David Goldin · 2026 · The Lancet Digital Health
- Digital cytologySwati Satturwar, Liron Pantanowitz, Zaibo Li · 2026 · Elsevier eBooks
- Pixelomics: The pixelome as a foundation of precision pathologyEhsan Ullah, Jingjing Hu, Hooman Rashidi, Liron Pantanowitz, Zaibo Li, Anil V. Parwani · 2026 · Elsevier eBooks