[HTML][HTML] Artificial intelligence and digital pathology: challenges and opportunities

HR Tizhoosh, L Pantanowitz - Journal of pathology informatics, 2018 - Elsevier
In light of the recent success of artificial intelligence (AI) in computer vision applications,
many researchers and physicians expect that AI would be able to assist in many tasks in …

A practical guide to whole slide imaging: a white paper from the digital pathology association

MD Zarella, D Bowman, F Aeffner… - … of pathology & …, 2019 - meridian.allenpress.com
Context.—Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as a
necessary first step for a wide array of digital tools to enter the field. Its basic function is to …

Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification

H Zhang, Y Meng, Y Zhao, Y Qiao… - Proceedings of the …, 2022 - openaccess.thecvf.com
Multiple instance learning (MIL) has been increasingly used in the classification of
histopathology whole slide images (WSIs). However, MIL approaches for this specific …

Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learning

B Li, Y Li, KW Eliceiri - … of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
We address the challenging problem of whole slide image (WSI) classification. WSIs have
very high resolutions and usually lack localized annotations. WSI classification can be cast …

[HTML][HTML] QuPath: Open source software for digital pathology image analysis

P Bankhead, MB Loughrey, JA Fernández… - Scientific reports, 2017 - nature.com
QuPath is new bioimage analysis software designed to meet the growing need for a user-
friendly, extensible, open-source solution for digital pathology and whole slide image …

A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

X Li, C Li, MM Rahaman, H Sun, X Li, J Wu… - Artificial Intelligence …, 2022 - Springer
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …

[HTML][HTML] Whole slide imaging (WSI) in pathology: current perspectives and future directions

N Kumar, R Gupta, S Gupta - Journal of digital imaging, 2020 - Springer
Whole slide imaging (WSI), ever since its first introduction about two decades ago, has been
validated for a number of applications in the field of pathology. The recent approval of US …

[HTML][HTML] An investigation of XGBoost-based algorithm for breast cancer classification

XY Liew, N Hameed, J Clos - Machine Learning with Applications, 2021 - Elsevier
Breast cancer is one of the leading cancers affecting women around the world. The
Computer-Aided Diagnosis (CAD) system is a powerful tool to assist pathologists during the …

Whole slide imaging in pathology: advantages, limitations, and emerging perspectives

N Farahani, AV Parwani… - Pathology and Laboratory …, 2015 - Taylor & Francis
Significant technologic gains have led to the adoption of innovative digital imaging solutions
in pathology. Whole slide imaging (WSI), which refers to scanning of conventional glass …

Breast cancer histopathology image analysis: A review

M Veta, JPW Pluim, PJ Van Diest… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This paper presents an overview of methods that have been proposed for the analysis of
breast cancer histopathology images. This research area has become particularly relevant …