Results 31 to 40 of about 4,840,174 (316)
Improving Mitosis Detection on Histopathology Images Using Large Vision-Language Models [PDF]
IEEE International Symposium on Biomedical Imaging, 2023 In certain types of cancerous tissue, mitotic count has been shown to be associated with tumor proliferation, poor prognosis, and therapeutic resistance.
Ruiwen Ding +3 more
semanticscholar +1 more source
Robust Multi-Domain Mitosis Detection
, 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
Hussain, Mustaffa +2 more
openaire +2 more sources
IEEE Access, 2020 Detection of mitotic tumor cells per tissue area is one of the critical markers of breast cancer prognosis. The aim of this paper is to develop a method for the automatic detection of mitotic figures from breast cancer histological slides using a ...
Meriem Sebai +2 more
doaj +1 more source
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset [PDF]
MIDOG/DRAC@MICCAI, 2023 Making histopathology image classifiers robust to a wide range of real-world variability is a challenging task. Here, we describe a candidate deep learning solution for the Mitosis Domain Generalization Challenge 2022 (MIDOG) to address the problem of ...
Maxime W. Lafarge, V. Koelzer
semanticscholar +1 more source
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
openaire +1 more source
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023 Detection of mitosis events plays an important role in biomedical research. Deep-learning-based mitosis detection methods have achieved outstanding performance with a certain amount of labeled data.
Kazuya Nishimura +3 more
semanticscholar +1 more source
Cell cycle-dependent phosphorylation of Theileria annulata schizont surface proteins [PDF]
, 2014 The invasion of Theileria sporozoites into bovine leukocytes is rapidly followed by the destruction of the surrounding host cell membrane, allowing the parasite to establish its niche within the host cell cytoplasm.
Dobbelaere, D A +6 more
core +8 more sources
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source