Results 31 to 40 of about 68,763 (241)
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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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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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
doaj +1 more source
Spectral band selection for mitosis detection in histopathology [PDF]
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014 This study aims at evaluating the accuracy of mitosis detection on multispectral histopathological images by developing a solution specifically designed to take advantage of multispectral information. The proposed framework includes a selection of spectral bands and focal plane, detection of candidate mitotic regions, computation of morphological ...
Humayun Irshad +3 more
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Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method. [PDF]
PLoS ONE, 2016 Tumor proliferation speed, most commonly assessed by counting of mitotic figures in histological slide preparations, is an important biomarker for breast cancer.
Mitko Veta +4 more
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IEEE Access, 2023 The second most frequent disease in terms of diagnoses is breast cancer, which has had tremendous impact on women’s lives all around the world.
Afnan M. Alhassan
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Representation of Differential Learning Method for Mitosis Detection [PDF]
Journal of Healthcare Engineering, 2021 The breast cancer microscopy images acquire information about the patient’s ailment, and the automated mitotic cell detection outcomes have generally been utilized to ease the massive amount of pathologist’s work and help the pathologists make clinical decisions quickly.
Haider Ali +8 more
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Journal of Pathology Informatics, 2022 Breast cancer is the second most commonly diagnosed type of cancer among women as of 2021. Grading of histopathological images is used to guide breast cancer treatment decisions and a critical component of this is a mitotic score, which is related to ...
Salar Razavi +5 more
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Environmental (e)RNA advances the reliability of eDNA by predicting its age
Scientific Reports, 2021 Environmental DNA (eDNA) analysis has advanced conservation biology and biodiversity management. However, accurate estimation of age and origin of eDNA is complicated by particle transport and the presence of legacy genetic material, which can obscure ...
Nathaniel T. Marshall +2 more
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Quantifying the Scanner-Induced Domain Gap in Mitosis Detection
CoRR, 2021 3 pages, 1 figure, 1 table, submitted as short paper to ...
Marc Aubreville +8 more
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