Results 121 to 130 of about 107,810 (260)
A large-scale benchmark dataset for Urdu script optical character recognition with systematic augmentation. [PDF]
Yasir F, Kazmi M, Qazi SA.
europepmc +1 more source
A benchmark dataset for printed Meitei/Meetei script character recognition. [PDF]
Khuman YLK +4 more
europepmc +1 more source
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Testing Optical Character Recognition of Home Blood Pressure Measurements, a Randomized Trial. [PDF]
Strom AJ +8 more
europepmc +1 more source
A Novel Memristive Neural Network Circuit and Its Application in Character Recognition. [PDF]
Zhang X +5 more
europepmc +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Transforming financial documents into credit decisions using explainable artificial intelligence and optical character recognition. [PDF]
Malave S +5 more
europepmc +1 more source
One shot ancient character recognition with siamese similarity network. [PDF]
Liu X +5 more
europepmc +1 more source
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source

