brightside51 / metabreast

The project aims to target the deformation of breasts during MRI screenings as a way to better understand and detect tumours and their exact locations, thus allowing for a safer removal if need be. This will involve using fusing multimodal data with generative, physics-based Diffusion Models.

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Conditional Variable Definition #17

Open brightside51 opened 7 months ago

brightside51 commented 7 months ago

Chosen Variables

Breast Volume (requires Segmentation) ;
Breast Density (Class Variable according to BI-Rads) ;
Mass vs Non-Mass Lesion (Round/Solid vs Infiltrative but still somewhat Solid) ;
Tumour Size (according to Staging T1, T2 or T3) ;
Tumour Location (5 Positions = 4 Quadrants + Central) ;

One idea would be to merge the tumour size and location by encoding it somehow.

Proposed Variables

[x] ACR Classification of Breast Pattern (Duke Only)
[ ] Tumour Position / Quadrant (Duke Only but in Confusing Fashion)
[ ] Lesion Nodularity (???)
[ ] ????

Found Information

Duke Breast Cancer Dataset

ACR / BI-RADS Classification of Breast Pattern (for 50 Patients and according to 3 Radiologists)
Imaging Features
- Breast Volume
- Tumour Acquisition Features
Clinical Features
- Lymphadenopathy or Suspicious Nodes
- Tumour Characteristics (Mol Subtype, Staging, etc)
- Tumour Grade and Location (Left or Right)
- Nottingham Grade
Race / Ethnicity
Very Inconsistent / Empty Tags

BCCT Dataset

Extreme Amount of Unknown Tags

Mutual Information

Patient Weight
Pregnancy Status
Patient Position