Results 201 to 210 of about 1,925,447 (292)
Chemogenetic investigation of image recognition in Rhesus monkeys
Paulo C. Rodrı́guez +4 more
openalex +1 more source
Research on Lung Sound Signal Image Feature Recognition Based on Temporal and Spatial Dual‐Channel Long‐ and Short‐Term Memory Model [PDF]
Li Xueri, Hu Ruo, Hong Xu, Huimin Zhao
openalex +1 more source
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source
YOLOv8-POS: a lightweight model for coal-rock image recognition. [PDF]
Zhao Y, Wang W.
europepmc +1 more source
An All-silicon Metalens for Imaging and Recognition in the MIR
Qize Zhong +12 more
openalex +1 more source
Research on Intelligent Image Feature Accurate Recognition Technology [PDF]
Qian Wang, Fang Xu, Jing Gao
openalex +1 more source
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad +12 more
wiley +1 more source
Artificial intelligence reshapes early oral cancer screening: from image recognition to risk prediction. [PDF]
Zhang YL, Zhang XK, Fu TG.
europepmc +1 more source
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
The shallowest transparent and interpretable deep neural network for image recognition. [PDF]
Singh G, Stefenon SF, Yow KC.
europepmc +1 more source

