Impact of CT Exposure Characteristic on Irreversible Compressibility and its Effect on Classification into Benign and Malignant Categories
This project is to examine the NLST image data set and accompanying outcomes data to identify significant factors related to compressibility and screening performance.
Characterize and stratify image sets based on CT exposure characteristics. Perform lossy compression with various schemes (including JPEG, JPEG 2000 and near-lossless JPEG-LS) and bit rates. Derive metrics of compression impact and evaluate with respect to impact on human and machine classification performance and correspondence with outcomes (biopsy, recurrence, mortality).
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