A pathologist-in-the-loop IHC antibody test selection using the entropy-based probabilistic method
Background: Immunohistochemistry (IHC) is an important tool to identify and quantify expression of certain proteins (antigens) to gain insights into the molecular processes in a diseased tissue. However, it is a challenge for pathologists to remember the discriminative characteristics of the growing...
Saved in:
Main Authors: | Dmitriy Shin (Author), Gerald Arthur (Author), Charles Caldwell (Author), Mihail Popescu (Author), Marius Petruc (Author), Alberto Diaz-Arias (Author), Chi-Ren Shyu (Author) |
---|---|
Format: | Book |
Published: |
Elsevier,
2012-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Closing the loop - the role of pathologists in digital and computational pathology research
by: Tilman T Rau, et al.
Published: (2024) -
IHC characteristics of stem cell markers in PDAC with different degrees of differentiation
by: V. Kabachenko, et al.
Published: (2022) -
Predicting IHC staining classes of NF1 using features in the hematoxylin channel
by: Wei Zhang, et al.
Published: (2023) -
Transfer Entropy
by: Deniz Gençağa (Ed.)
Published: (2018) -
Role of podoplanin expression in deciding the invasive potential of ameloblastoma - A retrospective IHC study
by: Sindhu M. Ganvir, et al.
Published: (2016)