Quantification-functional-tissue-units-human-body

~ Identifying and segmenting functional tissue units (FTUs) across five human organs. ~ Performing EDA and Feature extraction to analyze the various Functional organs. ~ Segmenting images and measuring features like area, perimeter, compactness, etc for each Functional tissues unit.

STEPS PERFORMED :

1. I have a config class and utils file for basics.
2. The FTU class represents any one functional tissue unit as a shapely Polygon. It calculates features such as the area, perimeter, compactness, etc for each FTU.
3. The organ class represents any organ sample. The organ consists of a list of FTUs. It makes it easy to analyze any organ, perform EDA, and extract features.
4. I had shown example of one of each type of organs.

• Organ 10274 (Prostate)

num FTUs: 22 organ_type: prostate pixel_size: 0.4 age: 76.0 sex: Male data_source: HPA

• Organ 10392 (Spleen)

num FTUs: 4 organ_type: spleen pixel_size: 0.4 age: 82.0 sex: Male data_source: HPA

• Organ 10611 (Kidney)

num FTUs: 4 organ_type: kidney pixel_size: 0.4 age: 68.0 sex: Female data_source: HPA

• Organ 10488 (Lung)

num FTUs: 2 organ_type: lung pixel_size: 0.4 age: 78.0 sex: Male data_source: HPA

• Organ 10651 (Large Intestine)

num FTUs: 13 organ_type: largeintestine pixel_size: 0.4 age: 83.0 sex: Male data_source: HPA

This work is under Process and not completed yet.