Nuclear Density Distribution Feature for Improving Cervical Histopathological Images Recognition

2021 ◽  
Author(s):  
Zhuangzhuang Wang ◽  
Mengning Yang ◽  
Yangfan Lyu ◽  
Kairun Chen ◽  
Qicheng Tang
Keyword(s):  
Density Distribution ◽  
Nuclear Density ◽  
Histopathological Images ◽  
Images Recognition

scholarly journals Phenomenological nuclear density distributions

2020 ◽  
Vol 4 ◽  
pp. 85
Author(s):  
G. A. Lalazissis ◽  
C. P. Panos
Keyword(s):  
Experimental Data ◽  
Density Distribution ◽  
Electron Scattering ◽  
Nuclear Density ◽  
Practical Application ◽  
Density Distributions ◽  
Pionic Atoms

A recently proposed semiphenomenological density distribution for neutrons and protons in nuclei is discussed. This density was derived using the separation energies of the last neutron or proton. A com­parison is made with the symmetrised Fermi density distribution with parameters determined by fitting electron scattering experimental data and with a Fermi density with parameters coming from a recent anal­ysis of pionic atoms. Theoretical expressions for rms radii for neutron, proton and matter distributions are proposed, which give the average trend of the variation of these quantities as functions of Ν, Ζ and A respectively. To facilitate the use of the new density all the parameters needed in a practical application are tabulated for a series of nuclei. Some applications of the new density are also discussed.

Z-MEM, Maximum Entropy Method software for electron/nuclear density distribution in Z-Code

2018 ◽  
Vol 551 ◽  
pp. 472-475 ◽  
Author(s):  
Yoshihisa Ishikawa ◽  
Junrong Zhang ◽  
Ryoji Kiyanagi ◽  
Masao Yonemura ◽  
Takeshi Matsukawa ◽  
...  
Keyword(s):  
Density Distribution ◽  
Maximum Entropy ◽  
Maximum Entropy Method ◽  
Entropy Method ◽  
Nuclear Density

Electron Density Distribution Obtained from X-Ray Powder Data by the Maximum Entropy Method

1991 ◽  
Vol 35 (A) ◽  
pp. 77-83 ◽  
Author(s):  
Makoto Sakata ◽  
Masaki Takata ◽  
Yoshiki Kubota ◽  
Tatsuya Uno ◽  
Shintaro Kuhazawa ◽  
...  
Keyword(s):  
Density Distribution ◽  
Maximum Entropy ◽  
Electron Density ◽  
Diffraction Data ◽  
Electron Density Distribution ◽  
Maximum Entropy Method ◽  
Entropy Method ◽  
Nuclear Density ◽  
X Ray ◽  
Distribution Maps

AbstractThe electron density distribution maps for CaF2 and TiO2 (rutile) were obtained from profile fitting of powder diffraction data by a Maximum Entropy Method (MEM) analysis. The resultant electron density maps show clearly the nature of the chemical bonding. In order to interpret the results, the nuclear density distribution was also obtained for rutile from powder neutron diffraction data. In the electron density map for rutile obtained by HEM analysis from the X-ray data, both apical and equatorial bonding can be seen. On the other hand, the nuclear density of rutile Is very simple and shows the thermal vibration of nuclei.

scholarly journals Nuclear-density distribution of KDP(KH2PO4) obtained by the maximum entropy analysis

1996 ◽  
Vol 52 (a1) ◽  
pp. C348-C348
Author(s):  
S. Kumazawa ◽  
K. Ishida ◽  
M. Takata ◽  
M. Sakata ◽  
Y. Ishii ◽  
...  
Keyword(s):  
Density Distribution ◽  
Maximum Entropy ◽  
Nuclear Density ◽  
Entropy Analysis

scholarly journals Information Entropy as a Measure of the Quality of a Nuclear Density Distribution

1998 ◽  
Vol 07 (04) ◽  
pp. 485-494 ◽  
Author(s):  
G. A. Lalazissis ◽  
S. E. Massen ◽  
C. P. Panos ◽  
S. S. Dimitrova
Keyword(s):  
Density Distribution ◽  
Phenomenological Models ◽  
Information Entropy ◽  
Mean Field ◽  
Nuclear Density ◽  
Alternative Approach ◽  
Momentum Distributions ◽  
Field Approaches ◽  
Best Fit

The information entropy of a nuclear density distribution is calculated for a number of nuclei. Various phenomenological models for the density distribution using different geometries are employed. Nuclear densities calculated within various microscopic mean field approaches are also employed. It turns out that the entropy increases from crude phenomenological models to more sophisticated (microscopic) ones. It is concluded that the larger the information entropy, the better the quality of the nuclear density distribution. An alternative approach is also examined: the net information content, i.e. the sum of information entropies in position and momentum space Sr+Sk. It is indicated that Sr+Sk is a maximum, when the best fit to experimental data of the density and momentum distributions is attained.

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