Results 241 to 250 of about 2,817,340 (344)
Automatic Surface Inspection System for Hot Rolled Slabs by Real Time Image Processing Method
Masayoshi Iwasaki +5 more
openalex +2 more sources
Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici +8 more
wiley +1 more source
Weak redundancy U-shaped network and heatmap-based object prompt method for real-time medical image processing. [PDF]
Lu C, Fu Z, Guo Z, Fei J, Xie R.
europepmc +1 more source
On travel time measuring technology using license plate recognition by image processing.
Kenji Kanayama
openalex +2 more sources
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert +13 more
wiley +1 more source
Microspectrofluorometry by digital image processing: measurement of cytoplasmic pH.
L Tanasugarn +3 more
openalex +1 more source
Following high dose rate brachytherapy (HDR‐BT) for hepatocellular carcinoma (HCC), patients were classified as responders and nonresponders. Post‐therapy serum induced increased BrdU incorporation and Cyclin E expression of Huh7 and HepG2 cells in nonresponders, but decreased levels in responders.
Lukas Salvermoser +14 more
wiley +1 more source
Editorial: Computational intelligence for signal and image processing, volume II. [PDF]
Koundal D, Tohka J.
europepmc +1 more source
This study highlights the potential of automated enumeration using the ACCEPT software to refine circulating tumor cell (CTC) detection in metastatic colorectal cancer (mCRC). The automated method demonstrates improved accuracy and reduced variability compared to the manual approach.
Michela De Meo +6 more
wiley +1 more source

