Measuring digital pathology throughput and tissue dropouts
Background: Digital pathology operations that precede viewing by a pathologist have a substantial impact on costs and fidelity of the digital image. Scan time and file size determine throughput and storage costs, whereas tissue omission during digital capture ('dropouts') compromises downs...
Main Authors: | Bruce, A. (Author), Hwang, D.H (Author), Milstone, D.S (Author), Mutter, G.L (Author), Siegmund, S. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
Implementing the DICOM standard for digital pathology
by: Markus D Herrmann, et al.
Published: (2018-01-01) -
High-throughput profiling of tissue and tissue model microarrays: Combined transmitted light and 3-color fluorescence digital pathology
by: Michel Nederlof, et al.
Published: (2011-01-01) -
Virtual microscopy in the undergraduate teaching of pathology
by: Oriol Ordi, et al.
Published: (2015-01-01) -
Computer-based image analysis in breast pathology
by: Ziba Gandomkar, et al.
Published: (2016-01-01) -
Implementation of whole slide imaging in surgical pathology: A value added approach
by: Mike Isaacs, et al.
Published: (2011-01-01)