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Found 3 papers, 2 papers with code
Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images
With the advanced imaging technology, digital pathology imaging of tumor tissue slides is becoming a routine clinical procedure for cancer diagnosis.
Using Persistent Homology Topological Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers
Tumor shape is a key factor that affects tumor growth and metastasis.
Persistent homology machine learning for fingerprint classification
The fingerprint classification problem is to sort fingerprints into pre-determined groups, such as arch, loop, and whorl.
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