[HTML][HTML] Digital pathology: advantages, limitations and emerging perspectives

SW Jahn, M Plass, F Moinfar - Journal of clinical medicine, 2020 - mdpi.com
Digital pathology is on the verge of becoming a mainstream option for routine diagnostics.
Faster whole slide image scanning has paved the way for this development, but …

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 …

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

M Veta, YJ Heng, N Stathonikos, BE Bejnordi… - Medical image …, 2019 - Elsevier
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer
patients. Assessment of tumor proliferation in a clinical setting is a highly subjective and …

Whole-slide mitosis detection in H&E breast histology using PHH3 as a reference to train distilled stain-invariant convolutional networks

D Tellez, M Balkenhol, I Otte-Höller… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Manual counting of mitotic tumor cells in tissue sections constitutes one of the strongest
prognostic markers for breast cancer. This procedure, however, is time-consuming and error …

Assessment of algorithms for mitosis detection in breast cancer histopathology images

M Veta, PJ Van Diest, SM Willems, H Wang… - Medical image …, 2015 - Elsevier
The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic
figures in hematoxylin and eosin stained histology sections, is considered to be one of the …

[HTML][HTML] Deep learning assisted mitotic counting for breast cancer

MCA Balkenhol, D Tellez, W Vreuls, PC Clahsen… - Laboratory …, 2019 - Elsevier
As part of routine histological grading, for every invasive breast cancer the mitotic count is
assessed by counting mitoses in the (visually selected) region with the highest proliferative …

[HTML][HTML] Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses

L Pantanowitz, D Hartman, Y Qi, EY Cho, B Suh… - Diagnostic …, 2020 - Springer
Background The mitotic count in breast carcinoma is an important prognostic marker.
Unfortunately substantial inter-and intra-laboratory variation exists when pathologists …

[HTML][HTML] Mitosis counting in breast cancer: Object-level interobserver agreement and comparison to an automatic method

M Veta, PJ Van Diest, M Jiwa, S Al-Janabi, JPW Pluim - PloS one, 2016 - journals.plos.org
Background Tumor proliferation speed, most commonly assessed by counting of mitotic
figures in histological slide preparations, is an important biomarker for breast cancer …

International guidelines for veterinary tumor pathology: a call to action

DJ Meuten, FM Moore, TA Donovan… - Veterinary …, 2021 - journals.sagepub.com
Standardization of tumor assessment lays the foundation for validation of grading systems,
permits reproducibility of oncologic studies among investigators, and increases confidence …

Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy

CA Bertram, M Aubreville, TA Donovan… - Veterinary …, 2022 - journals.sagepub.com
The mitotic count (MC) is an important histological parameter for prognostication of
malignant neoplasms. However, it has inter-and intraobserver discrepancies due to …