Results 41 to 50 of about 67,036 (249)
Learning Domain-Invariant Representations of Histological Images
Frontiers in Medicine, 2019 Histological images present high appearance variability due to inconsistent latent parameters related to the preparation and scanning procedure of histological slides, as well as the inherent biological variability of tissues. Machine-learning models are
Maxime W. Lafarge +3 more
doaj +1 more source
A Peak of H3T3 Phosphorylation Occurs in Synchrony with Mitosis in Sea Urchin Early Embryos
Cells, 2020 The sea urchin embryo provides a valuable system to analyse the molecular mechanisms orchestrating cell cycle progression and mitosis in a developmental context.
Omid Feizbakhsh +6 more
doaj +1 more source
Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization
, 2022 Presented at IDEAL ...
Fernandez-Martín, Claudio +5 more
openaire +2 more sources
Effect of Mitosis on the Resistance to Oxidative and Osmotic Stresses in Yeast
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2020 Cancercells are defined by abnormal and unrestricted mitotic divisions, thereforetargeting mitosis is a useful strategy for cancer treatment. Two groups ofdrugs that are most successfully used in the treatment of several types ofcancer, taxanes and ...
Pinar Buket Atalay +2 more
doaj +1 more source
Cell Segmentation, Tracking, and Mitosis Detection Using Temporal Context [PDF]
, 2005 The Large Scale Digital Cell Analysis System (LSDCAS) developed at the University of Iowa provides capabilities for extended-time live cell image acquisition. This paper presents a new approach to quantitative analysis of live cell image data. By using time as an extra dimension, level set methods are employed to determine cell trajectories from 2D ...
Fuxing, Yang +4 more
openaire +2 more sources
Mitosis sequence detection using hidden conditional random fields [PDF]
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010 We propose a fully-automated mitosis event detector using hidden conditional random fields for cell populations imaged with time-lapse phase contrast microscopy. The method consists of two stages that jointly optimize recall and precision. First, we apply model-based microscopy image preconditioning and volumetric segmentation to identify candidate ...
A-A Liu, K. Li, T. Kanade
openaire +1 more source
Molecular Oncology, EarlyView.Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard +5 more
wiley +1 more source
IEEE AccessAt present, mitosis detection in breast histopathology images is a critical issue for breast cancer grading. Due to the breast tissue having a complex structure, and mitosis and non-mitosis cells being similar to each other, traditional methods for ...
Sarah Ayashm +3 more
doaj +1 more source
Mitosis Detection using YOLOv5 and EfficientNet
, 2023 To accurately assess the prognosis of various tumors, mitosis de- tection plays a crucial role. The objective of the MIDOG 2022 MICCAI challenge is to develop approaches that are indepen- dent of tissue-related domain shifts and tissue types. We pro- pose a two-stage mitosis detection system, utilizing YOLOv5 as the candidate mitosis generator and ...
openaire +1 more source
Survivin and Aurora Kinase A control cell fate decisions during mitosis
Molecular Oncology, EarlyView.Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir +2 more
wiley +1 more source