Click here to

DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.

3 | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | show all

Keywords: pattern recognition
MO-C930-IePD-F5-2Prediction of Radiation Induced Lymphedema for Head & Neck Cancer Patients Using Ensemble Feature Selection and Machine Learning
P Teo1, K Rogacki2, M Gopalakrishnan3*, B Mittal4, I Das5, M Abazeed6, M Gentile7, (1) Department of Radiation Oncology, Northwestern Memorial Hospital, Chicago, IL, (2) Department Of Radiation Oncology, Northwestern University, (3) Department of Radiation Oncology, Northwestern Memorial Hospital, Chicago, IL, (4) Department of Radiation Oncology, Northwestern Memorial Hospital, Chicago, IL, (5) Northwestern University Feinberg School of Medicine, Chicago, IL, (6) Department Of Radiation Oncology, Northwestern University, (7) Department Of Radiation Oncology, University Of Pennsylvania.
PO-GePV-T-76A Fast and Accurate Contour Tracing (FACT) Method for Custom Electron Cutout Using a Beam’s Eye View (BEV) Camera
J Sohn1,2*, J Park3, S Kim1, (1) Virginia Commonwealth University, Richmond, VA, (2) Northwestern University Feinberg School of Medicine, Chicago, IL (3) Memorial Sloan Kettering Cancer Center, Basking Ridge, NJ

Share: