Results 101 to 110 of about 4,013,335 (305)

Uvod u razvoj višeslojnih poslovnih aplikacija u Microsoft .NET okolini [PDF]

, 2012
U praksi se često susrećemo s vrlo raznolikim pristupima izgradnje novih aplikacija. Programeri kreću u izradu aplikacija bez dovoljne tehničke i tehnološke pripreme. Arhitektura aplikacije se mijenja „ad-hoc“ za vrijeme izrade same aplikacije.
Kolac, Krešimir, Krešimir Kolac, Sanjković, Velimir, Knok, Željko, Velimir Sanjković, Željko Knok   +5 more
core  

Semantic Segmentation on Panoramic Dental X-Ray Images Using U-Net Architectures

IEEE Access
The field of medical image analysis is in a constant state of evolution, particularly in the challenging tasks of segmenting organs, diseases, and abnormalities. Therefore, in the realm of dental disease diagnosis, image segmentation plays a crucial role
Rafiatul Zannah, Mubtasim Bashar, Rahil Bin Mushfiq, Amitabha Chakrabarty, Shahriar Hossain, Yong Ju Jung   +5 more
doaj   +1 more source

Image Segmentation Based On U-Net and Adjusted U-Nets

Highlights in Science, Engineering and Technology
Image segmentation, the process of dividing an image into various areas is quite crucial recently. Numerous industries, including robotics, remote sensing, and medical imaging, have applications for this task. In recent years, deep learning techniques, especially U-shaped networks (U-nets), have shown remarkable success in solving image segmentation ...
openaire   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

FEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz, Mihály Mérey, Rebeka Vásárhelyi, Ramóna Pék, Victor Imburchia, László Henn, Adrián Kószó, Nicholas D. Lakin, Ivan Ahel, Sébastien Huet, Ágnes Czibula, Gyula Timinszky   +11 more
wiley   +1 more source

U-net weights for CT lung segmentation (don't use these---we've updated) [PDF]

, 2019
U-net weights for human CT lung ...
Nick Tustison (441144)
core   +1 more source

An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane

FEBS Letters, EarlyView.
Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa, Akira Hattori, Masafumi Tsujimoto, Toshihide Kobayashi   +3 more
wiley   +1 more source

Fat-U-Net: non-contracting U-Net for free-space optical neural networks [PDF]

Modified U-Net optimised for free-space optical neural networks, achieving up 37x speed-up over GPUs, with minimal performance loss in image segmentation.Poster presented as part of the Crick BioImage Analysis Symposium 2024.Permission has been given by ...
Constantino Carlos Reyes-Aldasoro (7345223), Riad Ibadulla (9523559), Thomas M. Chen (20440992)   +2 more
core   +4 more sources

A deep learning aided bone marrow segmentation of quantitative fat MRI for myelofibrosis patients

Frontiers in Oncology
PurposeTo automate bone marrow segmentation within pelvic bones in quantitative fat MRI of myelofibrosis (MF) patients using deep-learning (DL) U-Net models.MethodsAutomated segmentation of bone marrow (BM) was evaluated for four U-Net models: 2D U-Net ...
Humera Tariq, Lubomir Hadjiiski, Dariya Malyarenko, Moshe Talpaz, Kristen Pettit, Gary D. Luker, Brian D. Ross, Thomas L. Chenevert   +7 more
doaj   +1 more source

LU-NET: An Improved U-Net for Ventricular Segmentation

IEEE Access, 2019
In order to solve the problem of low accuracy of the U-Net in cardiac ventricular segmentation, we propose an improved U-net named LU-Net by the following three methods.
Jun Zhang, Jiazhuo Du, Hongpu Liu, Xiangdan Hou, Yihao Zhao, Mengyuan Ding   +5 more
doaj   +1 more source