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.
Yang, Sen +3 more
openaire +2 more sources
DNA damage induced during mitosis undergoes DNA repair synthesis. [PDF]
, 2020 Understanding the mitotic DNA damage response (DDR) is critical to our comprehension of cancer, premature aging and developmental disorders which are marked by DNA repair deficiencies.
Berns, Michael W +10 more
core +1 more source
Assessment of algorithms for mitosis detection in breast cancer histopathology images [PDF]
, 2014 The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers.
Adnan M. Khan +59 more
core +5 more sources
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection [PDF]
, 2018 Accepted for MICCAI COMPAY 2018 ...
Akram, S. U. (Saad Ullah) +5 more
openaire +4 more sources
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
doaj +1 more source
Importin-beta and CRM1 control a RANBP2 spatiotemporal switch essential for mitotic kinetochore function [PDF]
, 2017 Protein conjugation with small ubiquitin-related modifier (SUMO) is a post-translational modification that modulates protein interactions and localisation.
Damizia, Michela +7 more
core +1 more source
Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023 The effective localization of mitosis is a critical precursory task for deciding tumor prognosis and grade. Automated mitosis detection through deep learning-oriented image analysis often fails on unseen patient data due to inherent domain biases.
Chandr, Tirupati Saketh +3 more
openaire +2 more sources
Cell mitosis detection using deep neural networks [PDF]
Knowledge-Based Systems, 2017 Quantitative analysis of cell mitosis, the process by which cells regenerate, is important in cell biology. Automatic cell mitosis detection can greatly facilitate the investigation of cell life cycle. However, cell-type diversity, cell non-rigid deformation and high cell density pose difficulties on handcrafting visual features for traditional ...
Zhou, Yao, Mao, Hua, Yi, Zhang
openaire +1 more source
A new survivin tracer tracks, delocalizes and captures endogenous survivin at different subcellular locations and in distinct organelles [PDF]
, 2016 Survivin, the smallest member of the inhibitor of apoptosis protein family, plays a central role during mitosis and exerts a cytoprotective function. Survivin is highly expressed in most cancer types and contributes to multiple facets of carcinogenesis ...
Beghein, Els +5 more
core +2 more sources
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
doaj +1 more source