Attention-guided sampling for colorectal cancer analysis with digital pathology
Improvements to patient care through the development of automated image analysis in pathology are restricted by the small image patch size that can be processed by convolutional neural networks (CNNs), when compared to the whole-slide image (WSI). Tile-by-tile processing across the entire WSI is slo...
Saved in:
Main Authors: | Andrew Broad (Author), Alexander I. Wright (Author), Marc de Kamps (Author), Darren Treanor (Author) |
---|---|
Format: | Book |
Published: |
Elsevier,
2022-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pathologists light level preferences using the microscope-study to guide digital pathology display use
by: Charlotte Jennings, et al.
Published: (2024) -
A novel leadership fellowship in digital pathology
by: Bethany Jill Williams, et al.
Published: (2016) -
Summary of third Nordic symposium on digital pathology
by: Claes Lundstrom, et al.
Published: (2016) -
RandomSpot: A web-based tool for systematic random sampling of virtual slides
by: Alexander I Wright, et al.
Published: (2015) -
A point-of-use quality assurance tool for digital pathology remote working
by: Alexander I Wright, et al.
Published: (2020)