Research Published in Cancers

Doctoral candidate Kaushik Dutta’s work on “Deep Learning Segmentation and Radiomic Analysis of TNBC PDX tumors in Mice using multicontrast MR” was published in Cancers.

Dutta and collaborators from Washington University in St. Louis proposed a deep-learning-based system that was trained to automatically segment tumors from multi-contrast MR images and extract radiomic features. The proposed method is highly reproducible with significant correlation in radiomic features. The deployment of this pipeline in the preclinical arm would provide high throughput and reproducible radiomic analysis.