Results 61 to 70 of about 13,363,165 (248)

Improving face gender classification by adding deliberately misaligned faces to the training data [PDF]

, 2008
A novel method of face gender classifier construction is proposed and evaluated. Previously, researchers have assumed that a computationally expensive face alignment step (in which the face image is transformed so that facial landmarks such as the eyes ...
Zhang, Edmond Yiwen, E. Zhang, Mayo, Michael, M. Mayo   +3 more
core   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Image fusion for dynamic contrast enhanced magnetic resonance imaging [PDF]

, 2004
Twellmann T, Saalbach A, Gerstung O, Leach MO, Nattkemper TW. Image fusion for dynamic contrast enhanced magnetic resonance imaging. Biomed Eng Online. 2004;3(1): 35.BACKGROUND: Multivariate imaging techniques such as dynamic contrast-enhanced magnetic ...
Nattkemper, Tim Wilhelm ; https://orcid.org/, Nattkemper Tim W, Saalbach, A, Olaf Gerstung, Gerstung, O., Leach, M.O., Twellmann Thorsten, Twellmann, Thorsten, Nattkemper, TW, Axel Saalbach, Tim W Nattkemper, Leach, Martin O, Gerstung Olaf, Twellmann, T Thorsten, Thorsten Twellmann, Gerstung, Olaf, Saalbach Axel, Saalbach, Axel, Leach Martin O, Gerstung, O, Nattkemper, T.W., Martin O Leach, Saalbach, A., Twellmann, T.   +23 more
core   +2 more sources

A Review of Image Classification Algorithms in IoT

EAI Endorsed Transactions on Internet of Things, 2022
With the advent of big data era and the enhancement of computing power, Deep Learning has swept the world. Based on Convolutional Neural Network (CNN) image classification technique broke the restriction of classical image classification methods ...
Xiaopeng Zheng, Rayan S Cloutier
doaj   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

FEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Review of image classification based on deep learning

Dianxin kexue, 2019
In recent years,deep learning performed superior in the field of computer vision to traditional machine learning technology.Indeed,image classification issue drew great attention as a prominent research topic.For traditional image classification method ...
Fu SU, Qin LV, Renze LUO
doaj   +2 more sources

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

Coloured image classification with quantum machine learning algorithms for intelligent transportation systems [PDF]

, 2023
Quantum computers have great potential to change the future of Artificial Intelligence (AI) applications for practical problems. There currently exist some algorithm design that takes exponential time on a classical computer can take polynomial time on a
Ria, Farina
core   +1 more source

Deep Learning Model of Image Classification Using Machine Learning

Advances in Multimedia, 2022
Not only were traditional artificial neural networks and machine learning difficult to meet the processing needs of massive images in feature extraction and model training but also they had low efficiency and low classification accuracy when they were ...
Qing Lv, Suzhen Zhang, Yuechun Wang
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source