Results 201 to 210 of about 859,031 (290)

Deep transfer learning based feature fusion model with Bonobo optimization algorithm for enhanced brain tumor segmentation and classification through biomedical imaging. [PDF]

Sci Rep
Gurunathan P, Srinivasan PS, S R.
europepmc   +1 more source

Biomedical image processing [PDF]

2014 Cairo International Biomedical Engineering Conference (CIBEC), 2014
openaire   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging. [PDF]

Sci Rep
Vinoth NAS, Kalaivani J, Arieth RM, Sivasakthiselvan S, Park GC, Joshi GP, Cho W.   +6 more
europepmc   +1 more source

Inactivating SARS‐CoV‐2 Virus with MOF‐Composites as Smart Face Masks

Advanced Functional Materials, EarlyView.
In situ preparation and functionalization of MOF@Cotton fabrics as smart face masks for the immobilization of proteins and inactivation viruses, such as SARS‐CoV‐2. Abstract The significant impact of the SARS‐CoV‐2 (COVID‐19) pandemic outbreak on people's lives has highlighted the urgent need for effective personal protective equipment.
Romy Ettlinger, Aamod V. Desai, Hau Lam Jody Cheong, Louise L. Major, Terry K. Smith, Aaron B. Naden, Jane Hilton, Catherine S. Adamson, A. Robert Armstrong, Russell E. Morris   +9 more
wiley   +1 more source

Author Correction: The chicken chorioallantoic membrane as a low-cost, high-throughput model for cancer imaging

npj Imaging
Lydia M. Smith, Hannah E. Greenwood, Will E. Tyrrell, Richard S. Edwards, Vittorio de Santis, Friedrich Baark, George Firth, Muhammet Tanc, Samantha Y. A. Terry, Anne Herrmann, Richard Southworth, Timothy H. Witney   +11 more
doaj   +1 more source

First Year of Chemical & Biomedical Imaging: Reflection and Prospect. [PDF]

Chem Biomed Imaging
Lei W, Jia J, Ye D, Guo Z.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Tetrazine-<i>trans</i>-cyclooctene ligated lanthanide conjugates for biomedical imaging.

Inorg Chem Front
Chen H, Lim Kee Chang W, McMullon GT, Yu Y, Woolley BP, Geoghegan G, Yalcin C, Morse SV, Lythgoe MF, Choi JJ, Long NJ.   +10 more
europepmc   +1 more source

Towards affordable biomedical imaging: Recent advances in low-cost, high-resolution optoacoustic microscopy. [PDF]

J Microsc
Kalitsounakis P, Zacharakis G, Tserevelakis GJ.   +2 more
europepmc   +1 more source