AIMC Topic: Neoplasm Transplantation

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Object detection for automatic cancer cell counting in zebrafish xenografts.

PloS one Nov 29, 2021
Cell counting is a frequent task in medical research studies. However, it is often performed manually; thus, it is time-consuming and prone to human error. Even so, cell counting automation can be challenging to achieve, especially when dealing with ...
Humans Animals Neoplasms Deep Learning Image Processing, Computer-Assisted Cell Count Zebrafish Neoplasms, Experimental Neoplasm Transplantation Heterografts
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Three-dimensional convolutional neural networks for simultaneous dual-tracer PET imaging.

Physics in medicine and biology Sep 19, 2019
Dual-tracer positron emission tomography (PET) is a promising technique to measure the distribution of two tracers in the body by a single scan, which can improve the clinical accuracy of disease diagnosis and can also serve as a research tool for sc...
Humans Neural Networks, Computer Algorithms Brain Tomography, X-Ray Computed Female Animals Deep Learning Cell Line, Tumor Imaging, Three-Dimensional Image Processing, Computer-Assisted Mice Mice, Inbred BALB C Positron-Emission Tomography Monte Carlo Method Neoplasm Transplantation
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A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection.

IEEE/ACM transactions on computational biology and bioinformatics May 11, 2018
The important role of angiogenesis in cancer development has driven many researchers to investigate the prospects of noninvasive cancer diagnosis based on the technology of contrast-enhanced ultrasound (CEUS) imaging. This paper presents a deep learn...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity Male Deep Learning Ultrasonography Image Processing, Computer-Assisted Computational Biology Contrast Media Models, Statistical Area Under Curve Prostatic Neoplasms Video Recording Neoplasm Transplantation
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