Results 21 to 30 of about 133,809 (280)
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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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
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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
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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
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Keeping Pathologists in the Loop and an Adaptive F1-Score Threshold Method for Mitosis Detection in Canine Perivascular Wall Tumours [PDF]
CancersBarbara Bacci +2 more
exaly +2 more sources
Multi-task RetinaNet for Mitosis Detection
, 2023 The account of mitotic cells is a key feature in tumor diagnosis. However, due to the variability of mitotic cell morphology, it is a highly challenging task to detect mitotic cells in tumor tissues. At the same time, although advanced deep learning method have achieved great success in cell detection, the performance is often unsatisfactory when ...
Ziyue Wang 0005 +4 more
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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
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MitosisNet: End-to-End Mitotic Cell Detection by Multi-Task Learning
IEEE Access, 2020 Mitotic cell detection is one of the challenging problems in the field of computational pathology. Currently, mitotic cell detection and counting are one of the strongest prognostic markers for breast cancer diagnosis.
Md Zahangir Alom +4 more
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Sk-Unet Model with Fourier Domain for Mitosis Detection [PDF]
, 2022 Mitotic count is the most important morphological feature of breast cancer grading. Many deep learning-based methods have been proposed but suffer from domain shift. In this work, we construct a Fourier-based segmentation model for mitosis detection to address the problem.
Sen Yang 0006 +3 more
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Imaging plant germline differentiation within Arabidopsis flowers by light sheet microscopy [PDF]
, 2020 In higher plants, germline differentiation occurs during a relatively short period within developing flowers. Understanding of the mechanisms that govern germline differentiation lags behind other plant developmental processes.
Bainar, Petr +8 more
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