Articles with "computational pathology" as a keyword



Computational pathology aids derivation of microRNA biomarker signals from Cytosponge samples

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Published in 2022 at "EBioMedicine"

DOI: 10.1016/j.ebiom.2022.103814

Abstract: Summary Background Non-endoscopic cell collection devices combined with biomarkers can detect Barrett's intestinal metaplasia and early oesophageal cancer. However, assays performed on multi-cellular samples lose information about the cell source of the biomarker signal. This… read more here.

Keywords: biomarker; microrna; computational pathology; pathology aids ... See more keywords

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images

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Published in 2021 at "Nature biomedical engineering"

DOI: 10.1038/s41551-020-00682-w

Abstract: Deep-learning methods for computational pathology require either manual annotation of gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and typically suffer from poor domain adaptation and interpretability. Here we report an… read more here.

Keywords: weakly supervised; slide images; data efficient; pathology ... See more keywords

REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology

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Published in 2022 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btac315

Abstract: MOTIVATION Digitization of pathology laboratories through digital slide scanners and advances in deep learning approaches for objective histological assessment have resulted in rapid progress in the field of computational pathology (CPath) with wide-ranging applications in… read more here.

Keywords: computational pathology; evaluation enhancement; reet; pathology ... See more keywords

Computational pathology in precision oncology: Evolution from task-specific models to foundation models

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Published in 2025 at "Chinese Medical Journal"

DOI: 10.1097/cm9.0000000000003790

Abstract: Abstract With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and… read more here.

Keywords: oncology; fms; pathology; task specific ... See more keywords

How to learn with intentional mistakes: NoisyEnsembles to overcome poor tissue quality for deep learning in computational pathology

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Published in 2022 at "Frontiers in Medicine"

DOI: 10.3389/fmed.2022.959068

Abstract: There is a lot of recent interest in the field of computational pathology, as many algorithms are introduced to detect, for example, cancer lesions or molecular features. However, there is a large gap between artificial… read more here.

Keywords: computational pathology; quality; tissue quality; pathology ... See more keywords

Predicting the Evolution of Lung Squamous Cell Carcinoma In Situ Using Computational Pathology

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Published in 2025 at "Bioengineering"

DOI: 10.3390/bioengineering12040377

Abstract: Lung squamous cell carcinoma in situ (SCIS) is the preinvasive precursor lesion of lung squamous cell carcinoma (SCC). Only around two-thirds of these lesions progress to invasive cancer, while one-third undergo spontaneous regression, which presents… read more here.

Keywords: evolution; pathology; squamous cell; cell carcinoma ... See more keywords

Clinician Perspectives on Digital and Computational Pathology: Clinical Benefits, Concerns, and Willingness to Adopt

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Published in 2025 at "Diagnostics"

DOI: 10.3390/diagnostics15192527

Abstract: Background/Objectives: Precision medicine has transformed how we manage cancer patients. As treatments and drug targets become more complex, the associated diagnostic technologies must also evolve to actualize the benefit of these therapeutic innovations. Digital and… read more here.

Keywords: willingness adopt; adoption; digital computational; pathology ... See more keywords