[HTML][HTML] Breast histopathological image analysis using image processing techniques for diagnostic purposes: A methodological review
Breast cancer in women is the second most common cancer worldwide. Early detection of
breast cancer can reduce the risk of human life. Non-invasive techniques such as …
breast cancer can reduce the risk of human life. Non-invasive techniques such as …
Whole slide image quality in digital pathology: review and perspectives
R Brixtel, S Bougleux, O Lézoray, Y Caillot… - IEEE …, 2022 - ieeexplore.ieee.org
With the advent of whole slide image (WSI) scanners, pathology is undergoing a digital
revolution. Simultaneously, with the development of image analysis algorithms based on …
revolution. Simultaneously, with the development of image analysis algorithms based on …
[HTML][HTML] Experimental assessment of color deconvolution and color normalization for automated classification of histology images stained with hematoxylin and eosin
Simple Summary The appearance of histology images stained with H&E can vary a lot as a
consequence of changes in the reagents, staining conditions, preparation procedure and …
consequence of changes in the reagents, staining conditions, preparation procedure and …
[HTML][HTML] Tissue Phenomics for prognostic biomarker discovery in low-and intermediate-risk prostate cancer
N Harder, M Athelogou, H Hessel, N Brieu, M Yigitsoy… - Scientific reports, 2018 - nature.com
Tissue Phenomics is the discipline of mining tissue images to identify patterns that are
related to clinical outcome providing potential prognostic and predictive value. This involves …
related to clinical outcome providing potential prognostic and predictive value. This involves …
[HTML][HTML] H&E multi-laboratory staining variance exploration with machine learning
In diagnostic histopathology, hematoxylin and eosin (H&E) staining is a critical process that
highlights salient histological features. Staining results vary between laboratories regardless …
highlights salient histological features. Staining results vary between laboratories regardless …
CNN cascades for segmenting whole slide images of the kidney
M Gadermayr, AK Dombrowski… - arXiv preprint arXiv …, 2017 - arxiv.org
Due to the increasing availability of whole slide scanners facilitating digitization of
histopathological tissue, there is a strong demand for the development of computer based …
histopathological tissue, there is a strong demand for the development of computer based …
Evaluation of colour pre-processing on patch-based classification of H&E-stained images
This paper compares the effects of colour pre-processing on the classification performance
of H&E-stained images. Variations in the tissue preparation procedures, acquisition systems …
of H&E-stained images. Variations in the tissue preparation procedures, acquisition systems …
Synergizing Chest X-ray Image Normalization and Discriminative Feature Selection for Efficient and Automatic COVID-19 Recognition
SE Ayala-Raggi, AE Picazo-Castillo… - Asian Conference on …, 2023 - Springer
This paper presents a method for COVID-19 recognition based on the automatic localization
and further pose and scale normalization of the region of interest, in this case lungs, in chest …
and further pose and scale normalization of the region of interest, in this case lungs, in chest …
Using machine learning techniques on digitised histopathological images to distinguish lipoma (LP) from atypical lipomatous tumours (ALT)
B Chai - 2023 - discovery.ucl.ac.uk
Lipomas are benign neoplasms of fat and are amongst the most common tumours with an
estimated incidence rate of 1 per 1000 people per year (Rydholm & Berg 1983, Weiss et al …
estimated incidence rate of 1 per 1000 people per year (Rydholm & Berg 1983, Weiss et al …
[PDF][PDF] Whole Slide Image Quality in Digital Pathology: Review and Perspectives
Y CAILLOT, B LEMOINE, M FONTAINE, D NEBATI… - datexim.ai
With the advent of whole slide image (WSI) scanners, pathology is undergoing a digital
revolution. Simultaneously, with the development of image analysis algorithms based on …
revolution. Simultaneously, with the development of image analysis algorithms based on …