Results 91 to 100 of about 16,808 (228)

A Two‐Dimensional Plot of Cell Aggregates and Their Largest Nuclei Distinguishes Benign From Malignant Pleural Effusion Cytology Specimens

open access: yesCytopathology, EarlyView.
Scatter plots from all cases were categorized into four plot types. Cytologically negative cases mainly exhibited Small cluster (S‐type) and Horizontal (H‐type) patterns, whereas cytologically positive cases predominantly showed Vertical (V‐type) and Diagonal (D‐type) patterns.
Rio Kaneko   +7 more
wiley   +1 more source

Flora segetalna Bolimowa, Bolimowskiej Wsi i Kolonii Bolimowskiej Wsi

open access: yes, 2001
The paper present a list of segetal flora taxons o f Bolimów, Bolimowska Wieś and Kolonia Bolimowska Wieś as well as their general characterization. The segetal flora of the researched area consists of 190 taxons. It also shows a great participation of therophytes (125 taxons) and apophytes (106 taxons).
Warcholińska, Aurelia Urszula   +1 more
openaire   +1 more source

AI‐Assisted Fungal Detection in Dermatopathology: A Study on Accuracy, Efficiency, and Usability

open access: yesJDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background and Objectives AI‐based image analysis is increasingly applied in pathology. Excluding fungal elements in PAS‐stained skin sections is labor‐intensive and well suited for AI assistance. While fungal detection in nails has been studied, skin‐biopsy applications and real‐world benefit remain limited.
Paul Schmidle   +12 more
wiley   +1 more source

Perceived image quality and diagnostic sufficiency of whole slide imaging scanners: a pathologist‐centred evaluation

open access: yesHistopathology, EarlyView.
A user‐centred evaluation of four widely used WSI scanners revealed marked image quality differences but minimal impact on diagnostic sufficiency. Aim Whole slide imaging (WSI) scanners are fundamental to digital pathology, providing high‐resolution digitized histology slides.
Jonas Bäcker   +14 more
wiley   +1 more source

Masked pre-training of transformers for histology image analysis

open access: yesJournal of Pathology Informatics
In digital pathology, whole-slide images (WSIs) are widely used for applications such as cancer diagnosis and prognosis prediction. Vision transformer (ViT) models have recently emerged as a promising method for encoding large regions of WSIs while ...
Shuai Jiang   +3 more
doaj   +1 more source

The internet and sustainable development [PDF]

open access: yes
The past thirty years have seen tremendous growth in the capabilities and reach of information and communication technologies (ICTs). The Internet, especially, has become a critical enabler of social and economic change, transforming how government ...
Constance Bommelaer
core  

Hematopathology Practice in the Digital Era: What has Changed?

open access: yesInternational Journal of Laboratory Hematology, EarlyView.
ABSTRACT Hematopathology workflows are complex, since they include numerous data points necessary for guiding further testing, diagnosis, and patient management. The workflows start with complete blood cell counts, with subsequent morphologic evaluation of peripheral blood (PB) and bone marrow (BM).
Olga Pozdnyakova
wiley   +1 more source

A mixture of experts (MoE) model to improve AI-based computational pathology prediction performance under variable levels of image blur

open access: yesBMC Medical Imaging
Background AI-based models for analysis of histopathology whole slide images (WSIs) are now common. However, image quality, particularly unsharp areas of WSIs, impacts model performance.
Yujie Xiang   +2 more
doaj   +1 more source

Digital Pathology in Hematopathology: From Vision to Deployment

open access: yesInternational Journal of Laboratory Hematology, EarlyView.
ABSTRACT Digital pathology (DP) has evolved alongside other technical advances, transforming our daily lives and diagnostic medicine. It is likely that, as in other areas of life, science, and medicine, the overall level of digitization will continue to rise, along with an increasing number of groups implementing DP.
Ryan C. Shean, Anton V. Rets
wiley   +1 more source

Digital profiling of gene expression from histology images with linearized attention

open access: yesNature Communications
Cancer is a heterogeneous disease requiring costly genetic profiling for better understanding and management. Recent advances in deep learning have enabled cost-effective predictions of genetic alterations from whole slide images (WSIs).
Marija Pizurica   +8 more
doaj   +1 more source

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