Results 201 to 210 of about 492,068 (301)

Delaunay triangulation based image enhancement for echocardiography images

, 2009
A novel image enhancement approach for automatic echocardiography image processing is proposed. The main steps include undecimated wavelet based speckle noise reduction, edge detection, followed by a regional enhancement process that employs Delaunay ...
Ahanathapillai, V., Sonecki, P., Soraghan, J.J.   +2 more
core  

Frame-based Programming, Stream-Based Processing for Medical Image Processing Applications. [PDF]

J Signal Process Syst, 2019
Hoozemans J, de Jong R, van der Vlugt S, Van Straten J, Elango UK, Al-Ars Z.   +5 more
europepmc   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Editorial: The combination of data-driven machine learning approaches and prior knowledge for robust medical image processing and analysis. [PDF]

Front Med (Lausanne)
Zhou D, Duan J, Qin C, Luo G.
europepmc   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Deep learning for medical image analysis /

"Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts ...
Zhou, S. Kevin,editor., Shen, Dinggang,editor., Greenspan, Hayit,editor.   +2 more
core  

RayPlus: a Web-Based Platform for Medical Image Processing. [PDF]

J Digit Imaging, 2017
Yuan R, Luo M, Sun Z, Shi S, Xiao P, Xie Q.   +5 more
europepmc   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae

FEBS Open Bio, EarlyView.
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj, Eline M. F. de Lange, Klaas A. Sjollema, Ben N. G. Giepmans   +3 more
wiley   +1 more source

A Data Colocation Grid Framework for Big Data Medical Image Processing: Backend Design. [PDF]

Proc SPIE Int Soc Opt Eng, 2018
Bao S, Huo Y, Parvathaneni P, Plassard AJ, Bermudez C, Yao Y, Lyu I, Gokhale A, Landman BA.   +8 more
europepmc   +1 more source