Impash: A novel domain-shift resistant representation for colorectal cancer tissue classification

TTL Vuong, QD Vu, M Jahanifar, S Graham… - … on Computer Vision, 2022 - Springer
The appearance of histopathology images depends on tissue type, staining and digitization
procedure. These vary from source to source and are the potential causes for domain-shift …

[HTML][HTML] Stain deconvolution using statistical analysis of multi-resolution stain colour representation

N Alsubaie, N Trahearn, SEA Raza, D Snead… - PloS one, 2017 - journals.plos.org
Stain colour estimation is a prominent factor of the analysis pipeline in most of histology
image processing algorithms. Providing a reliable and efficient stain colour deconvolution …

Stain deconvolution of histology images via independent component analysis in the wavelet domain

N Alsubaie, SEA Raza… - 2016 IEEE 13th …, 2016 - ieeexplore.ieee.org
With the ubiquity of digital slide scanners, histology image analysis is rapidly emerging as
an active area of research. Several histology image analysis algorithms such as those for …

[PDF][PDF] Computer vision and machine learning algorithms for dermatopathological image analysis

P Kªeczek - 2020 - stopnienaukowe.archiwum.agh.edu …
Methods of computer vision and machine learning allow not only for automation of different
tasks in various fields, but also for obtaining unbiased and reproducible results. One of such …

[PDF][PDF] AUTOMATED CHARACTERIZATION OF TUMOR-INFILTRATING LYMPHOCYTES (TIL) IN HISTOLOGICAL BREAST IMAGES

NC Claver - e-archivo.uc3m.es
Cancer illness has a big influence on society. Its extended proliferation and high
aggressiveness make it a difficult problem to solve and therefore a big deal for science …