Cancer Data
In this paper, the effects of input power of microwave antenna (MWAN) on liver cancerous tissue at injection of Magnetic Nanoparticles (MNPs) are investigated. At first for base simulation, we validate our results by a comparison with other literature reports. After that, we used a 1.8-cm hepatocellular carcinoma (HCC) tumor that was treated in experiment during a 3-min ablation by using MWAN operating on 2.45 GHz frequency with 90 W power. In the next step of the simulation, the obtained results were compared with experimental results.
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This dataset of breast cancer patients was obtained from the 2017 November update of the SEER Program of the NCI, which provides information on population-based cancer statistics. The dataset involved female patients with infiltrating duct and lobular carcinoma breast cancer (SEER primary cites recode NOS histology codes 8522/3) diagnosed in 2006-2010. Patients with unknown tumor size, examined regional LNs, regional positive LNs, and patients whose survival months were less than 1 month were excluded; thus, 4024 patients were ultimately included.
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Computational modelling of metabolic processes has proven to be a useful approach to formulate our knowledge and improve our understanding of core biochemical systems that are crucial to maintain cellular functions. Recently, it has become evident that metabolism is not only responsible for generating the required energy and controlling the abundance of metabolites within a cell, but also has an important role in and influence on cellular fate specification.
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Videomicroscopic Semi-Shadow Visualization of LoC-Si (Lab-on-a-Chip_[based_on]_Silicone) test structures from Institute of Molecular Electronics (D. Shevchenko; founder of Scientific and Production Association "Microbiotechniques" Ltd.) and Russian Academy of Sciences (INEPCP RAS; ICP RAS)
Vis. Tech.: MBS-10 Binocular Stereoscopic Microscope; Indirect Angular Illumination.
Found.: Initiative project (D. Shevchenko, O. Gradov; 2015-2016)
Fab.: JSC “Voskhod” KRLZ*
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We make our dataset publicly avaiable. It consists of 50 H&E stained histopathology annotated images at the nuclei level. This dataset is ideal for those who want an exhaustive annotation of H&E breast cancer patient from a Tripple Negative Breast Cancer cohort.
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