Results 1 to 10 of about 16,767 (187)

Postoperative watershed shift induced ischemic stroke after direct revascularization surgery in chronic intracranial atherosclerotic steno-occlusive diseases; case series and literature review [PDF]

Acta Neurochirurgica
Background Extracranial-intracranial (EC-IC) bypass surgery is performed to reduce the risk of ipsilateral cerebral infarction in selected patients with chronic intracranial atherosclerotic steno-occlusive disease (ICAD) with reduced cerebral blood flow (
Masahiko Nishitani, Taichi Ishiguro, Shunsuke Nomura, Yoshihiro Omura, Kostadin Karagiozov, Tadasuke Tominaga, Nobuhiko Momozaki, Mana Suzuki, Akitsugu Kawashima, Takakazu Kawamata   +9 more
doaj   +2 more sources

Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images [PDF]

npj Digital Medicine
Pleural and ascitic cytology is essential for diagnosing metastatic cancer and predicting tumor origin, yet microscopic observation alone often leads to low accuracy and observer variability. Although deep learning shows great potential in pathology, its
Ching-Wei Wang, Tzu-Chiao Chu, Tzu-Kang Wu, Yu-Pang Chung, Sin-Si Lin, Tai-Kuang Chao   +5 more
doaj   +2 more sources

Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma. [PDF]

PLoS Computational Biology
Recent advances in digital pathology have enabled comprehensive analyses of Whole-Slide Images (WSIs) from tissue samples, leveraging high-resolution microscopy and computational capabilities.
Lucas Sancéré, Carina Lorenz, Doris Helbig, Oana-Diana Persa, Sonja Dengler, Alexander Kreuter, Martim Laimer, Roland Lang, Anne Fröhlich, Jennifer Landsberg, Johannes Brägelmann, Katarzyna Bozek   +11 more
doaj   +2 more sources

Automated quantification of Ki-67 expression in breast cancer from H&E-stained slides using a transformer-based regression model [PDF]

Breast Cancer Research
Background Accurate quantification of the Ki-67 proliferation index is essential for breast cancer prognosis and treatment planning. Current automated methods, including classical and deep learning approaches based on cell detection or segmentation ...
Abadh K. Chaurasia, Patrick W. Toohey, Matthew T. Bennett, Helen C. Harris, Alex W. Hewitt   +4 more
doaj   +2 more sources

Tarihsel Süreç İçerisinde Enformasyon Dengesizliği, Uluslararası Girişimler ve Çözüm Önerileri

Erciyes İletişim Dergisi, 2021
Enformasyon dengesizliğini, uluslararası girişimler çerçevesinde incelemeyi amaçlayan bu çalışma hem sorunun çözümü için gerçekleştirilen uluslararası girişimleri bütüncül bir yapıda değerlendirmeyi hem de son girişimden bu yana geçen 16 yıllık süre ...
Ahmet Öztekin, Pınar Ayhan
doaj   +1 more source

Stain normalization gives greater generalizability than stain jittering in neural network training for the classification of coeliac disease in duodenal biopsy whole slide images

Journal of Pathology Informatics, 2023
Around 1% of the population of the UK and North America have a diagnosis of coeliac disease (CD), due to a damaging immune response to the small intestine.
B.A. Schreiber, J. Denholm, J.D. Gilbey, C.-B. Schönlieb, E.J. Soilleux   +4 more
doaj   +1 more source

Accuracy of whole slide image based image analysis is adversely affected by preanalytical factors such as stained tissue slide and paraffin block age

Journal of Pathology Informatics, 2022
Background: Personalized medicine and accurate quantification of tumor and biomarker expression have become the cornerstone of cancer diagnostics. This requires Quality Control (QC) of research tissue samples to confirm adequate targeted tumor tissue ...
Nada Shaker, Ruhani Sardana, Satoshi Hamasaki, David G. Nohle, Leona W. Ayers, Anil V. Parwani   +5 more
doaj   +1 more source

The impact of different coverslipping methods in the quality of the whole slide images used for diagnosis in pathology

Journal of Pathology Informatics, 2022
Digital pathology workflow aims to create whole slide images (WSIs) for diagnosis. The quality of the WSIs depends primarily on the quality of the glass slides produced by the pathology laboratory, where the coverslipping method plays an important role ...
Diana Ferreira, João Vale, Mónica Curado, António Polónia, Catarina Eloy   +4 more
doaj   +1 more source

Clinical-grade endometrial cancer detection system via whole-slide images using deep learning

Frontiers in Oncology, 2022
The accurate pathological diagnosis of endometrial cancer (EC) improves the curative effect and reduces the mortality rate. Deep learning has demonstrated expert-level performance in pathological diagnosis of a variety of organ systems using whole-slide ...
Xiaobo Zhang, Wei Ba, Xiaoya Zhao, Chen Wang, Qiting Li, Yinli Zhang, Shanshan Lu, Lang Wang, Shuhao Wang, Zhigang Song, Danhua Shen   +10 more
doaj   +1 more source

Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology

Frontiers in Medicine, 2022
Application of deep learning on histopathological whole slide images (WSIs) holds promise of improving diagnostic efficiency and reproducibility but is largely dependent on the ability to write computer code or purchase commercial solutions. We present a
Henrik Sahlin Pettersen, Henrik Sahlin Pettersen, Henrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, Elin Synnøve Røyset, Elin Synnøve Røyset, Erik Smistad, Erik Smistad, Melanie Rae Simpson, Melanie Rae Simpson, Eija Jokitalo, Ingerid Reinertsen, Ingerid Reinertsen, Ingunn Bakke, Ingunn Bakke, André Pedersen, André Pedersen, André Pedersen   +18 more
doaj   +1 more source