Results 41 to 50 of about 68,763 (241)

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection [PDF]

, 2018
Accepted for MICCAI COMPAY 2018 ...
Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot   +5 more
openaire   +3 more sources

Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading

Frontiers in Bioengineering and Biotechnology, 2019
Existing computational approaches have not yet resulted in effective and efficient computer-aided tools that are used in pathologists' daily practice. Focusing on a computer-based qualification for breast cancer diagnosis, the present study proposes two ...
Gabriel Jiménez, Daniel Racoceanu, Daniel Racoceanu   +2 more
doaj   +1 more source

They Might Cut It—Lysosomes and Autophagy in Mitotic Progression

Frontiers in Cell and Developmental Biology, 2021
The division of one cell into two looks so easy, as if it happens without any control at all. Mitosis, the hallmark of mammalian life is, however, tightly regulated from the early onset to the very last phase. Despite the tight control, errors in mitotic
Saara Hämälistö, Jonathan Stahl-Meyer, Marja Jäättelä   +2 more
doaj   +1 more source

Spatiotemporal Joint Mitosis Detection Using CNN-LSTM Network in Time-Lapse Phase Contrast Microscopy Images

IEEE Access, 2017
We present an approach to jointly detect mitotic events spatially and temporally in time-lapse phase contrast microscopy images. In particular, we combine a convolutional neural network (CNN) and a long short-term memory (LSTM) network to detect mitotic ...
Yu-Ting Su, Yao Lu, Mei Chen, An-An Liu
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, Florian Pontheaux, Virginie Glippa, Julia Morales, Sandrine Ruchaud, Patrick Cormier, Fernando Roch   +6 more
doaj   +1 more source

Intraoperative Flow Cytometry for the Evaluation of Meningioma Grade

Current Oncology, 2023
Meningiomas are the most frequent central nervous system tumors in adults. The majority of these tumors are benign. Nevertheless, the intraoperative identification of meningioma grade is important for modifying surgical strategy in order to reduce ...
George A. Alexiou, Georgios S. Markopoulos, Evrysthenis Vartholomatos, Anna C. Goussia, Lefkothea Dova, Savvas Dimitriadis, Stefania Mantziou, Vasiliki Zoi, Anastasios Nasios, Chrissa Sioka, Athanasios P. Kyritsis, Spyridon Voulgaris, George Vartholomatos   +12 more
doaj   +1 more source

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, Josien P. W. Pluim, Koen A. J. Eppenhof, Mitko Veta   +3 more
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework

IEEE Access
At 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, Morteza Valizadeh, Mehdi Chehel Amirani, Sara Mihandoost   +3 more
doaj   +1 more source

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source