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
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
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
PD51-03 DIGITAL PATHOLOGY OF CIRCULATING TUMOR CELLS WITH MORPHOLOGIC ANALYSIS IS FEASIBLE IN LOCALIZED BLADDER CANCER
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Urology"
DOI: 10.1097/ju.0000000000000953.03
Abstract: INTRODUCTION AND OBJECTIVE: Circulating tumor cells (CTCs) are promising biomarkers in metastatic urothelial cancer (UC). Unfortunately, efforts in localized disease have been unsuccessful, in part due to limitations of existing technologies that rely on counting… read more here.
Keywords: pathology; tumor cells; cancer; feasible localized ... See more keywords
Multi-Magnification Image Search in Digital Pathology
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3181531
Abstract: This paper investigates the effect of magnification on content-based image search in digital pathology archives and proposes to use multi-magnification image representation. Image search in large archives of digital pathology slides provides researchers and medical… read more here.
Keywords: pathology; image search; digital pathology; magnification ... See more keywords
Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2919722
Abstract: One of the challenges facing the adoption of digital pathology workflows for clinical use is the need for automated quality control. As the scanners sometimes determine focus inaccurately, the resultant image blur deteriorates the scanned… read more here.
Keywords: focus quality; quality; pathology; image ... See more keywords