Artificial intelligence-based prediction of organ involvement in Sjogren's syndrome using labial gland biopsy whole-slide images. [PDF]
Ren Y +10 more
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Endometrial whole-slide images dataset for detection of malignancy in endometrial biopsies. [PDF]
Mohammadi M +12 more
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A high-precision hierarchical registration approach for stain- and scanner-independent colocalization on whole slide images in histopathology. [PDF]
Bisson T +5 more
europepmc +1 more source
Validation of an Artificial Intelligence Model for Breast Cancer Molecular Subtyping Using Hematoxylin and Eosin-Stained Whole-Slide Images in a Population-Based Cohort. [PDF]
Kiraz U +7 more
europepmc +1 more source
Prediction of pathological complete response to neoadjuvant therapy in breast cancer using deep learning with multi-modal radiological image and biopsy whole slide images: a two-center study. [PDF]
Liu J +7 more
europepmc +1 more source
A Hybrid Deep Learning Framework for Accurate Cell Segmentation in Whole Slide Images Using YOLOv11, StarDist, and SAM2. [PDF]
Bamwenda J +3 more
europepmc +1 more source
Detection, localization, and staging of breast cancer lymph node metastasis in digital pathology whole slide images using selective neighborhood attention-based deep learning. [PDF]
Tauqeer A, Asif A, Sadeghi-Naini A.
europepmc +1 more source
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Whole Slide Imaging: Technology and Applications
Advances in Anatomic Pathology, 2020Pathology has benefited from advanced innovation with novel technology to implement a digital solution. Whole slide imaging is a disruptive technology where glass slides are scanned to produce digital images. There have been significant advances in whole slide scanning hardware and software that have allowed for ready access of whole slide images.
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