Computational pathology aids derivation of microRNA biomarker signals from Cytosponge samples
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
How to learn with intentional mistakes: NoisyEnsembles to overcome poor tissue quality for deep learning in computational pathology
Sign Up to like & getrecommendations! 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