Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides

Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides

Immunohistochemical (IHC) analysis of tissue biopsies is currently used for clinical screening of solid cancers to assess protein expression. The large amount of image data produced from these tissue samples requires specialized computational pathology methods to perform integrative analysis. Even t...

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Bibliographic Details
Main Authors: Almeida, G.M (Author), Almeida, R. (Author), Carneiro, F. (Author), Martins, D. (Author), Oliveira, C. (Author), Pereira, C. (Author), Solorzano, L. (Author), Wahlby, C. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
Article
biopsy
Biopsy
Co-expression
computational pathology
Computational tools
controlled study
deconvolution
Diagnosis
Diseases
eosin
fluorescence microscopy
gastric cancer
hematoxylin
human
human experiment
human tissue
Humans
image analysis
Image analysis
image processing
Image Processing, Computer-Assisted
image registration
image segmentation
Image segmentation
immunohistochemistry
Immunohistochemistry
Integrative analysis
Learning-based approach
membrane cofactor protein
neoplasm
Neoplasms
Open source tools
pathologist
Pathology
pipeline
Pipelines
protein
protein expression
Protein expressions
Proteins
Quality control
random forest
registration
stomach cancer
Tissue biopsies
tissue microarray
Tissue microarrays
Transfer learning
Tumor segmentation
Tumors
uvomorulin
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