Clinical Trials and Digital Pathology-Toward Quantitative Therapeutic Immunohistochemistry and Tissue Hybridization.
Sign Up to like & getrecommendations! Published in 2022 at "JAMA oncology"
DOI: 10.1001/jamaoncol.2022.5826
Abstract: This Viewpoint discusses immunohistochemistry and tissue-hybridization-based diagnostics delivery and compares it with digital pathology. read more here.
Keywords: pathology; tissue hybridization; immunohistochemistry tissue; digital pathology ... See more keywords
Enhanced image similarity analysis system in digital pathology
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4773-z
Abstract: In digital pathology, image similarity algorithms are used to find cancer in tissue cells from medical images. However, it is very difficult to apply image similarity algorithms used in general purpose system. Because in the… read more here.
Keywords: image; system; pathology; digital pathology ... See more keywords
Deep learning in digital pathology image analysis: a survey
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers of Medicine"
DOI: 10.1007/s11684-020-0782-9
Abstract: Deep learning (DL) has achieved state-of-the-art performance in many digital pathology analysis tasks. Traditional methods usually require hand-crafted domain-specific features, and DL methods can learn representations without manually designed features. In terms of feature extraction,… read more here.
Keywords: analysis; deep learning; pathology; digital pathology ... See more keywords
Sensitivity analysis in digital pathology: Handling large number of parameters with compute expensive workflows
Sign Up to like & getrecommendations! Published in 2019 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2019.03.006
Abstract: Digital pathology imaging enables valuable quantitative characterizations of tissue state at the sub-cellular level. While there is a growing set of methods for analysis of whole slide tissue images, many of them are sensitive to… read more here.
Keywords: number; pathology; digital pathology; sensitivity analysis ... See more keywords
Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
Sign Up to like & getrecommendations! Published in 2019 at "Nature Reviews Clinical Oncology"
DOI: 10.1038/s41571-019-0252-y
Abstract: In the past decade, advances in precision oncology have resulted in an increased demand for predictive assays that enable the selection and stratification of patients for treatment. The enormous divergence of signalling and transcriptional networks… read more here.
Keywords: pathology; digital pathology; precision oncology; artificial intelligence ... See more keywords
Concordance in the estimation of tumor percentage in non-small cell lung cancer using digital pathology
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-75175-w
Abstract: The incorporation of digital pathology in clinical practice will require the training of pathologists in digital skills. Our study aimed to assess the reliability among pathologists in determining tumor percentage in whole slide images (WSI)… read more here.
Keywords: tumor percentage; digital pathology; pathology; tumor ... See more keywords
Integrating SAM priors with U-Net for enhanced multiclass cell detection in digital pathology
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-99278-0
Abstract: In digital pathology, the accurate detection, segmentation, and classification of cells are pivotal for precise pathological diagnosis. Traditionally, pathologists manually segment cells from pathological images to facilitate diagnosis based on these results and other critical… read more here.
Keywords: detection; segmentation; digital pathology; pathology ... See more keywords
Deep learning in digital pathology for personalized treatment plans of cancer patients.
Sign Up to like & getrecommendations! Published in 2023 at "Seminars in diagnostic pathology"
DOI: 10.1053/j.semdp.2023.02.003
Abstract: Over the past decade, many new cancer treatments have been developed and made available to patients. However, in most cases, these treatments only benefit a specific subgroup of patients, making the selection of treatment for… read more here.
Keywords: personalized treatment; treatment plans; pathology; treatment ... See more keywords
Preface: Artificial intelligence (AI), machine learning ML) and digital pathology integration are the next major chapter in our diagnostic pathology and laboratory medicine arena.
Sign Up to like & getrecommendations! Published in 2023 at "Seminars in diagnostic pathology"
DOI: 10.1053/j.semdp.2023.02.005
Abstract: This timely captivating topic is organized and presented in this special issue of the journal of Seminar in diagnostic pathology. This special issue will be dedicated to the utilization of machine learning within the digital… read more here.
Keywords: pathology laboratory; machine learning; pathology; diagnostic pathology ... See more keywords
Roche Digital Pathology Dx whole slide imaging system is comparable to traditional microscopy for primary diagnosis in surgical pathology
Sign Up to like & getrecommendations! Published in 2025 at "American Journal of Clinical Pathology"
DOI: 10.1093/ajcp/aqaf052
Abstract: Abstract Objective We evaluated the clinical performance of Roche Digital Pathology Dx, a whole slide imaging (WSI) system, in 2 studies according to US Food and Drug Administration (FDA) and Digital Pathology Association criteria. Methods… read more here.
Keywords: diagnosis; pathology whole; microscopy; roche digital ... See more keywords
Multi-modality artificial intelligence in digital pathology
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbac367
Abstract: Abstract In common medical procedures, the time-consuming and expensive nature of obtaining test results plagues doctors and patients. Digital pathology research allows using computational technologies to manage data, presenting an opportunity to improve the efficiency… read more here.
Keywords: pathology; modality artificial; artificial intelligence; digital pathology ... See more keywords