Machine Learning Radiomics Signature for Differentiating Lymphoma versus Benign Splenomegaly on CT
Jih-An Cheng, Yu-Chun Lin, Yenpo Lin, Ren-Chin Wu, Hsin-Ying Lu, Lan-Yan Yang, Hsin-Ju Chiang, Yu-Hsiang Juan, Ying-Chieh Lai, Gigin Lin · 2023
Read Machine Learning Radiomics Signature for Differentiating Lymphoma versus Benign Splenomegaly on CT by Jih-An Cheng, Yu-Chun Lin, Yenpo Lin, Ren-Chin Wu, Hsin-Ying Lu, Lan-Yan Yang, Hsin-Ju Chiang, Yu-Hsiang Juan, Ying-Chieh Lai, Gigin Lin (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10742777.txt.
Description
Jih-An Cheng and co-authors build in 2023 a scan based score to tell whether an enlarged spleen is due to lymphoma or a benign cause. A firm answer now needs tissue proof, so a scan only test would spare many patients a hard step.
The team drew spleen outlines by hand on scans from one hundred thirty nine patients and pulled out shape and texture measures. Seven measures formed the score, which proved sharp on a held back test group. The score also tracked blood counts. The authors present it as an aid for doctors, ready for more checks before wide use.
Catalog record
| CREATOR | Jih-An Cheng, Yu-Chun Lin, Yenpo Lin, Ren-Chin Wu, Hsin-Ying Lu, Lan-Yan Yang, Hsin-Ju Chiang, Yu-Hsiang Juan, Ying-Chieh Lai, Gigin Lin |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 27 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |