[HTML][HTML] Stain normalization methods for histopathology image analysis: A comprehensive review and experimental comparison

MZ Hoque, A Keskinarkaus, P Nyberg, T Seppänen - Information Fusion, 2024 - Elsevier
The advent of whole slide imaging has brought advanced computer-aided diagnosis via
medical imaging and artificial intelligence technologies in digital pathology. The …

[HTML][HTML] Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

Y Nan, J Del Ser, S Walsh, C Schönlieb, M Roberts… - Information …, 2022 - Elsevier
Removing the bias and variance of multicentre data has always been a challenge in large
scale digital healthcare studies, which requires the ability to integrate clinical features …

The devil is in the details: Whole slide image acquisition and processing for artifacts detection, color variation, and data augmentation: A review

N Kanwal, F Pérez-Bueno, A Schmidt, K Engan… - Ieee …, 2022 - ieeexplore.ieee.org
Whole Slide Images (WSI) are widely used in histopathology for research and the diagnosis
of different types of cancer. The preparation and digitization of histological tissues leads to …

Breast histopathological image analysis using image processing techniques for diagnostic purposes: A methodological review

R Rashmi, K Prasad, CBK Udupa - Journal of Medical Systems, 2022 - Springer
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 …

Artificial intelligence for prediction of response to cancer immunotherapy

Y Yang, Y Zhao, X Liu, J Huang - Seminars in Cancer Biology, 2022 - Elsevier
Artificial intelligence (AI) indicates the application of machines to imitate intelligent behaviors
for solving complex tasks with minimal human intervention, including machine learning and …

Automated quality assessment of large digitised histology cohorts by artificial intelligence

M Haghighat, L Browning, K Sirinukunwattana… - Scientific Reports, 2022 - nature.com
Research using whole slide images (WSIs) of histopathology slides has increased
exponentially over recent years. Glass slides from retrospective cohorts, some with patient …

[HTML][HTML] Applying artificial intelligence for cancer immunotherapy

Z Xu, X Wang, S Zeng, X Ren, Y Yan, Z Gong - Acta Pharmaceutica Sinica …, 2021 - Elsevier
Artificial intelligence (AI) is a general term that refers to the use of a machine to imitate
intelligent behavior for performing complex tasks with minimal human intervention, such as …

A new complete color normalization method for H&E stained histopatholgical images

S Vijh, M Saraswat, S Kumar - Applied Intelligence, 2021 - Springer
The popularity of digital histopathology is growing rapidly in the development of computer
aided disease diagnosis systems. However, the color variations due to manual cell …

Investigations of color image segmentation based on connectivity measure, shape priority and normalized fuzzy graph cut

P Karthick, SA Mohiuddine, K Tamilvanan… - Applied Soft …, 2023 - Elsevier
A vital ingredient of image analysis and vision-based systems is color image segmentation
studies. Because color images contain more information than gray images, they are more …

Photon absorption remote sensing imaging of breast needle core biopsies is diagnostically equivalent to gold standard H&E histologic assessment

JED Tweel, BR Ecclestone, H Gaouda, D Dinakaran… - Current …, 2023 - mdpi.com
Photon absorption remote sensing (PARS) is a new laser-based microscope technique that
permits cellular-level resolution of unstained fresh, frozen, and fixed tissues. Our objective …