Results 201 to 210 of about 12,340,531 (359)
Generative Adversarial Network in Medical Imaging: A Review [PDF]
Xin Yi, Ekta Walia, P. Babyn
semanticscholar +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
Patient Perspectives on Artificial Intelligence in Medical Imaging. [PDF]
Glenning J, Gualtieri L.
europepmc +1 more source
Lossless medical image compression by multilevel decomposition [PDF]
Kisuk Kang, Hyeonji Park
openalex +1 more source
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié+16 more
wiley +1 more source
Classification of medical imaging technologies: results from Türkiye. [PDF]
Temiz H, Kara T.
europepmc +1 more source
High-Sensitivity Fiber-Optic Ultrasound Sensors for Medical Imaging Applications [PDF]
Han Wen+4 more
openalex +1 more source
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker+16 more
wiley +1 more source
AI in Medical Imaging and Image Processing. [PDF]
Nurzynska K+3 more
europepmc +1 more source