Radiomic image processing using Python
Budget: $10 – $30 USD
Radiomic image processing using Python
I need a freelancer who knows radiomic image processing (Texture values from CT scan), I need to calculate and numeric values from following five features using Python
tum_minValue
tum_GLRLM_SRHGE
ring_GLRLM_LGRE
ring_GLRLM_SRLGE
ring_GLRLM_LRLGE
Tum: radiomic feature from the tumor; Ring: radiomic feature from the peripheral ring around the tumor; VOI: location of the volume of interest; GLRLM: Gray-Level Run Length Matrix; SRHGE: short-run high gray-level emphasis; LGRE: low gray-level run emphasis; SRLGE: short-run low gray-level emphasis; LRLGE: long-run low gray-level emphasis.
The image (I will provide) already segmented using Python code (*.npy). I will provide original CT image (*.npy) and the segmentation masks (*.npy) in npy array. Note that the segmentation file contains both the tumor (should be the first layer of array) and the ring structure mask (should be the second layer). Those five feature values will be save in excel/csv file (batch processing). I will send you the .npy files once finalize that you are capable to calculate.
Please knock only genuine person who is very much familiar with image processing and Python language.
I need a freelancer who knows radiomic image processing (Texture values from CT scan), I need to calculate and numeric values from following five features using Python
tum_minValue
tum_GLRLM_SRHGE
ring_GLRLM_LGRE
ring_GLRLM_SRLGE
ring_GLRLM_LRLGE
Tum: radiomic feature from the tumor; Ring: radiomic feature from the peripheral ring around the tumor; VOI: location of the volume of interest; GLRLM: Gray-Level Run Length Matrix; SRHGE: short-run high gray-level emphasis; LGRE: low gray-level run emphasis; SRLGE: short-run low gray-level emphasis; LRLGE: long-run low gray-level emphasis.
The image (I will provide) already segmented using Python code (*.npy). I will provide original CT image (*.npy) and the segmentation masks (*.npy) in npy array. Note that the segmentation file contains both the tumor (should be the first layer of array) and the ring structure mask (should be the second layer). Those five feature values will be save in excel/csv file (batch processing). I will send you the .npy files once finalize that you are capable to calculate.
Please knock only genuine person who is very much familiar with image processing and Python language.