3 citations · 5 across the 4 of their papers we have counts for
4 papers
A survival analysis of glioma patients using topological features and locations of tumors
Yuhyeong Jang, Tu Dan, Eric Vu +1
Tumor shape plays a critical role in influencing both growth and metastasis. We introduce a novel topological radiomic feature derived from persistent homology to characterize tumo…
Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images
Esteban Fernández Morales, Cong Zhang, Guanghua Xiao +2
With the advanced imaging technology, digital pathology imaging of tumor tissue slides is becoming a routine clinical procedure for cancer diagnosis. This process produces massive…
Using Persistent Homology Topological Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers
Chul Moon, Qiwei Li, Guanghua Xiao
Tumor shape is a key factor that affects tumor growth and metastasis. This paper proposes a topological feature computed by persistent homology to characterize tumor progression fr…
Bayesian Landmark-based Shape Analysis of Tumor Pathology Images
Cong Zhang, Guanghua Xiao, Chul Moon +2
Medical imaging is a form of technology that has revolutionized the medical field in the past century. In addition to radiology imaging of tumor tissues, digital pathology imaging,…