[HTML][HTML] Surgical data science–from concepts toward clinical translation
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
Mitosis domain generalization in histopathology images—the MIDOG challenge
The density of mitotic figures (MF) within tumor tissue is known to be highly correlated with
tumor proliferation and thus is an important marker in tumor grading. Recognition of MF by …
tumor proliferation and thus is an important marker in tumor grading. Recognition of MF by …
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 …
A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research
Canine mammary carcinoma (CMC) has been used as a model to investigate the
pathogenesis of human breast cancer and the same grading scheme is commonly used to …
pathogenesis of human breast cancer and the same grading scheme is commonly used to …
Automated video-based analysis framework for behavior monitoring of individual animals in zoos using deep learning—A study on polar bears
Simple Summary Every institution that keeps animals under human care must ensure animal
welfare. To analyze the state of an animal, various measurements can be performed, such …
welfare. To analyze the state of an animal, various measurements can be performed, such …
Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis
The count of mitotic figures (MFs) observed in hematoxylin and eosin (H&E)-stained slides is
an important prognostic marker, as it is a measure for tumor cell proliferation. However, the …
an important prognostic marker, as it is a measure for tumor cell proliferation. However, the …
[HTML][HTML] Domain generalization across tumor types, laboratories, and species—Insights from the 2022 edition of the Mitosis Domain Generalization Challenge
Recognition of mitotic figures in histologic tumor specimens is highly relevant to patient
outcome assessment. This task is challenging for algorithms and human experts alike, with …
outcome assessment. This task is challenging for algorithms and human experts alike, with …
Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm
Exercise-induced pulmonary hemorrhage (EIPH) is a relevant respiratory disease in sport
horses, which can be diagnosed by examination of bronchoalveolar lavage fluid (BALF) …
horses, which can be diagnosed by examination of bronchoalveolar lavage fluid (BALF) …
Pan-tumor canine cutaneous cancer histology (catch) dataset
Due to morphological similarities, the differentiation of histologic sections of cutaneous
tumors into individual subtypes can be challenging. Recently, deep learning-based …
tumors into individual subtypes can be challenging. Recently, deep learning-based …
Built to last? Reproducibility and reusability of deep learning algorithms in computational pathology
SJ Wagner, C Matek, SS Boushehri, M Boxberg… - Modern Pathology, 2024 - Elsevier
Recent progress in computational pathology has been driven by deep learning. While code
and data availability are essential to reproduce findings from preceding publications …
and data availability are essential to reproduce findings from preceding publications …