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Mitosis detection, fast and slow: Robust and efficient detection of mitotic figures
Medical Image AnalysisCounting of mitotic figures is a fundamental step in grading and prognostication of several cancers. However, manual mitosis counting is tedious and time-consuming. In addition, variation in the appearance of mitotic figures causes a high degree of discordance among pathologists.
Neda Zamanitajeddin +2 more
exaly +4 more sources
Enhancing mitosis quantification and detection in meningiomas with computational digital pathology [PDF]
Acta Neuropathologica CommunicationsMitosis 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 hotspots and accurately detecting mitotic figures.
Hongyan Gu +15 more
doaj +4 more sources
MitoDet: Simple and Robust Mitosis Detection [PDF]
, 2022 Mitotic figure detection is a challenging task in digital pathology that has a direct impact on therapeutic decisions. While automated methods often achieve acceptable results under laboratory conditions, they frequently fail in the clinical deployment phase. This problem can be mainly attributed to a phenomenon called domain shift. An important source
Jakob Dexl +4 more
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Virtual Staining for Mitosis Detection in Breast Histopathology [PDF]
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020 We propose a virtual staining methodology based on Generative Adversarial Networks to map histopathology images of breast cancer tissue from H&E stain to PHH3 and vice versa. We use the resulting synthetic images to build Convolutional Neural Networks (CNN) for automatic detection of mitotic figures, a strong prognostic biomarker used in routine ...
Caner Mercan +6 more
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Contextual Prior Constrained Deep Networks for Mitosis Detection With Point Annotations
IEEE Access, 2021 We study the problem of training an accurate deep learning mitosis detection model with only point annotations. To address this challenging label-efficient deep learning problem, we propose a novel contextual prior constraint mechanism and spatial area ...
Jiangxiao Han, Xinggang Wang, Wenyu Liu
doaj +1 more source
Robust Multi-Domain Mitosis Detection
CoRR, 2021 Domain variability is a common bottle neck in developing generalisable algorithms for various medical applications. Motivated by the observation that the domain variability of the medical images is to some extent compact, we propose to learn a target representative feature space through unpaired image to image translation (CycleGAN). We comprehensively
Mustaffa Hussain +2 more
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A Heteromorphous Deep CNN Framework for Medical Image Segmentation Using Local Binary Pattern
IEEE Access, 2022 Estimating mitotic nuclei in breast cancer samples can aid in determining the tumor’s aggressiveness and grading system. Because of their strong resemblance to non-mitotic nuclei and heteromorphic form, automated evaluation of mitotic nuclei is ...
Saeed Iqbal, Adnan N. Qureshi
doaj +1 more source
SmallMitosis: Small Size Mitotic Cells Detection in Breast Histopathology Images
IEEE Access, 2021 Mitotic figure count acts as a proliferative marker to measure aggressiveness of the breast cancer tumor. In this article, we have proposed a novel framework named SmallMitosis to detect mitotic cells particularly very small size mitosis from hematoxylin
Tasleem Kausar +3 more
doaj +1 more source
A comparison of algorithms and humans for mitosis detection [PDF]
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014 We consider the problem of detecting mitotic figures in breast cancer histology slides. We investigate whether the performance of stateof-the-art detection algorithms is comparable to the performance of humans, when they are compared under fair conditions: our test subjects were not previously exposed to the task, and were required to learn their own ...
Alessandro Giusti +4 more
openaire +1 more source
Keeping Pathologists in the Loop and an Adaptive F1-Score Threshold Method for Mitosis Detection in Canine Perivascular Wall Tumours [PDF]
CancersNicholas Bacon +2 more
exaly +2 more sources