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 …
Multi-modality artificial intelligence in digital pathology
In common medical procedures, the time-consuming and expensive nature of obtaining test
results plagues doctors and patients. Digital pathology research allows using computational …
results plagues doctors and patients. Digital pathology research allows using computational …
A comprehensive multi-domain dataset for mitotic figure detection
The prognostic value of mitotic figures in tumor tissue is well-established for many tumor
types and automating this task is of high research interest. However, especially deep …
types and automating this task is of high research interest. However, especially deep …
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 generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images
Mitosis counting of biopsies is an important biomarker for breast cancer patients, which
supports disease prognostication and treatment planning. Developing a robust mitotic cell …
supports disease prognostication and treatment planning. Developing a robust mitotic cell …
Augmenting pathologists with NaviPath: design and evaluation of a human-AI collaborative navigation system
Artificial Intelligence (AI) brings advancements to support pathologists in navigating high-
resolution tumor images to search for pathology patterns of interest. However, existing AI …
resolution tumor images to search for pathology patterns of interest. However, existing AI …
Weakly supervised joint whole-slide segmentation and classification in prostate cancer
The identification and segmentation of histological regions of interest can provide significant
support to pathologists in their diagnostic tasks. However, segmentation methods are …
support to pathologists in their diagnostic tasks. However, segmentation methods are …
Enhancing mitosis quantification and detection in meningiomas with computational digital pathology
Mitosis is a critical criterion for meningioma grading. However, pathologists' assessment of
mitoses is subject to significant inter-observer variation due to challenges in locating mitosis …
mitoses is subject to significant inter-observer variation due to challenges in locating mitosis …
[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 …
Domain adversarial RetinaNet as a reference algorithm for the MItosis DOmain generalization challenge
Assessing the mitotic count has a known high degree of intra-and inter-rater variability.
Computer-aided systems have proven to decrease this variability and reduce labeling time …
Computer-aided systems have proven to decrease this variability and reduce labeling time …