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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
 
 

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Analysis of immunofluorescence images of resistant and sensitive gastric cancer cells before and after Docetaxel treatment with code 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)" https://academic.oup.com/bioinformatics/article/17/12/1213/225559?login=false

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www.researchgate.net/publication/374544332_Automated_Enumeration_and_Analysis_of_Circulating_Tumor_Cells_from_Peripheral_Blood_of_Metastatic_Cancer_Patients_for_Diagnosis_and_Refinement_of_Therapy_2012-2015

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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

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