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projective transformation algorithm implemented in matlab r2021a  (MathWorks Inc)


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    MathWorks Inc projective transformation algorithm implemented in matlab r2021a
    Projective Transformation Algorithm Implemented In Matlab R2021a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/projective+transformations/pmc09804764-67-82-82
    Average 90 stars, based on 1 article reviews
    projective transformation algorithm implemented in matlab r2021a - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Spiner, deep learning-based automated detection of spiral ganglion neurons in intact cochleae
    Article Snippet: MATLAB R2021a , Mathworks , RRID: SCR_001622.

    Article Title: Sternum drop during trip recovery differs between the laboratory and real world – An exploratory pilot study
    Article Snippet: Subsequent data processing was performed using custom code in MATLAB R2021a (The MathWorks Inc., Natick, MA).

    Article Title: NTCP-Based Prediction of Lung Sparing With IMPT in BC Patients and Implication of Patient Selection
    Article Snippet: NTCP modeling was completed with self-written code in MATLAB (version R2021a, MathWorks, Inc).

    Article Title: Quantitative longitudinal investigation of non-alcoholic steatohepatitis in mice by photoacoustic microscopy
    Article Snippet: MATLAB software (R2021a, MathWorks) was used to separated vessels and hepatic sinusoids vessels structures, while Amira 3D software was employed for the 3D reconstruction of PA images.

    Article Title: Modifiable traits and genetic associations with grey matter volume in mid-to-late adulthood: a population-based study in the UK biobank
    Article Snippet: All P values were two-sided, and analyses were conducted using MATLAB R2021a, R v 4.3.2, Python 3.9.6.

    Article Title: Improved optimization based on parrot’s chaotic optimizer for solving complex problems in engineering and medical image segmentation
    Article Snippet: All experiments were carried out with MATLAB R2021a on a Windows 11-64-bit PC equipped with an Intel(R) Core (TM) i7-1165G7 processor running at 2.8 GHz and 16 GB RAM.

    Article Title: Optimization of Ethanol Extraction Conditions From Sun‐Dried Apricot and Prediction of Antioxidant, Phenolic, and Flavonoid Contents and Their Effects on HCT116 Cells Using Artificial Neural Networks
    Article Snippet: MATLAB R2021a (64‐bit) and the Neural Network Toolbox were used to develop the feed‐forward ANN model.

    Software:

    Article Title: Machine learning assisted LIBS classification of burnt and unburnt paper samples: A forensic perspective.
    Article Snippet: A crucial part of investigating into a possible arson case is analyzing the chemical makeup of the fire’s effects.. In order to identify the chemical makeup of burnt materials that are frequently found in homes and businesses, the current study attempts to explore the potential of LIBS in forensic applications including burning of as well as forgery in paper-based documents.. Various kinds of paper were chosen as a model sample to investigate the potential of Laser induced breakdown spectroscopy (LIBS) in forensics.



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