Skip to content

amatov/AntibodyTextureMorphology

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
SLIC
SLIC
 
 
AZ521_CTL_vs_DTX__FULL_SET_T-Test.txt
AZ521_CTL_vs_DTX__FULL_SET_T-Test.txt
 
 
ContrastStretchNorm.m
ContrastStretchNorm.m
 
 
HS746T_CTL_vs_DTX__FULL_SET_T-Test.txt
HS746T_CTL_vs_DTX__FULL_SET_T-Test.txt
 
 
MKN45_CTL_vs_DTX__FULL_SET_T-Test.txt
MKN45_CTL_vs_DTX__FULL_SET_T-Test.txt
 
 
MKN7_CTL_vs_DTX__FULL_SET_T-Test.txt
MKN7_CTL_vs_DTX__FULL_SET_T-Test.txt
 
 
MatovGCMarch2014.pdf
MatovGCMarch2014.pdf
 
 
MatovGC_8_2013.pdf
MatovGC_8_2013.pdf
 
 
Matov_GC_10-1-2013.pdf
Matov_GC_10-1-2013.pdf
 
 
Matov_NEW_results_Gastric_Cancer_2013.pdf
Matov_NEW_results_Gastric_Cancer_2013.pdf
 
 
README.md
README.md
 
 
Runner_0703_2013.m
Runner_0703_2013.m
 
 
SCH_CTL_vs_DTX__FULL_SET_T-Test.txt
SCH_CTL_vs_DTX__FULL_SET_T-Test.txt
 
 
SC_CellLevelFeatures.asv
SC_CellLevelFeatures.asv
 
 
SC_CellLevelFeatures.m
SC_CellLevelFeatures.m
 
 
SC_CellLevelFeatures_Wrapper.m
SC_CellLevelFeatures_Wrapper.m
 
 
SC_Retrieve_Features.m
SC_Retrieve_Features.m
 
 
SNU1_CTL_vs_DTX__FULL_SET_T-Test.txt
SNU1_CTL_vs_DTX__FULL_SET_T-Test.txt
 
 
TMK1.MKN7_CTL_vs_DTX__T-Test.xls
TMK1.MKN7_CTL_vs_DTX__T-Test.xls
 
 
TMK1_CTL_vs_DTX__FULL_SET_T-Test.txt
TMK1_CTL_vs_DTX__FULL_SET_T-Test.txt
 
 
TTest_Features.asv
TTest_Features.asv
 
 
TTest_Features.m
TTest_Features.m
 
 
TTest_FeaturesPAPER.asv
TTest_FeaturesPAPER.asv
 
 
TTest_FeaturesPAPER.m
TTest_FeaturesPAPER.m
 
 
createproc_GC_AZ521.m
createproc_GC_AZ521.m
 
 
createproc_GC_HS746T.m
createproc_GC_HS746T.m
 
 
createproc_GC_MKN45.m
createproc_GC_MKN45.m
 
 
createproc_GC_MKN7.m
createproc_GC_MKN7.m
 
 
createproc_GC_SCH.m
createproc_GC_SCH.m
 
 
createproc_GC_SNU1.m
createproc_GC_SNU1.m
 
 
createproc_GC_TMK1.m
createproc_GC_TMK1.m
 
 
feat_combine_auto.m
feat_combine_auto.m
 
 
feat_lowcommon.m
feat_lowcommon.m
 
 
feat_lowcommon_field.m
feat_lowcommon_field.m
 
 
handmask1_1.mat
handmask1_1.mat
 
 
handseg.m
handseg.m
 
 
handseg_GC_AZ521.m
handseg_GC_AZ521.m
 
 
handseg_GC_HS746T.m
handseg_GC_HS746T.m
 
 
handseg_GC_MKN45.m
handseg_GC_MKN45.m
 
 
handseg_GC_MKN7.m
handseg_GC_MKN7.m
 
 
handseg_GC_SCH.m
handseg_GC_SCH.m
 
 
handseg_GC_SNU1.m
handseg_GC_SNU1.m
 
 
handseg_GC_TMK1.m
handseg_GC_TMK1.m
 
 
sc_autofeatcalc.m
sc_autofeatcalc.m
 
 
sc_feat_combine_auto.m
sc_feat_combine_auto.m
 
 
sc_fieldfeatcalc.m
sc_fieldfeatcalc.m
 
 
sc_handseg.m
sc_handseg.m
 
 
sc_mkp_GC.m
sc_mkp_GC.m
 
 
sc_regionfeatmat.m
sc_regionfeatmat.m
 
 
tz_imcropbg2.m
tz_imcropbg2.m
 
 
tz_maskimgs.m
tz_maskimgs.m
 
 
tz_normreg.m
tz_normreg.m
 
 
tz_squeezenum.m
tz_squeezenum.m
 
 

Repository files navigation

Analysis of immunofluorescence images of resistant and sensitive gastric cancer cells before and after Docetaxel treatment; for detauled information, see: https://www.researchgate.net/publication/382853221_Quantitative_Microscopy_in_Medicine

Method from the lab of Bob Murphy, PhD at Carnegie Mellon - Mike Boland, Bob Murphy "A Neural Network Classifier Capable of Recognizing the Patterns of All Major Subcellular Structures in Fluorescence Microscope Images of HeLa Cells (2001)"

About

www.researchgate.net/publication/382853221_Quantitative_Microscopy_in_Medicine

Topics

morphological-analysis gaussian-filter edge-analytics haralick-features texture-analysis euler-number subcellular-localization immunofluorescence-microscopy-analysis cellular-protein-morphology zernike-moments numeric-features subcellular-patterns canny-method edge-gradient-intensity-homogeneity edge-direction-homegeneity convex-hull-analytics mahalanobis-distance-classifier grey-level-co-occurrance-matrix harralick-angular-second-moment harralick-difference-entropy

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages