dc.contributor.author | Veduruparthi, Bijju Kranthi | |
dc.date.accessioned | 2022-03-31T06:23:04Z | |
dc.date.available | 2022-03-31T06:23:04Z | |
dc.date.issued | 2019-07 | |
dc.identifier.govdoc | NB16445 | |
dc.identifier.uri | http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/10769 | |
dc.language.iso | en_US | en_US |
dc.publisher | IIT Kharagpur | en_US |
dc.subject | Radiomics | en_US |
dc.subject | Prognosis | en_US |
dc.subject | Cone-beam computed tomography | en_US |
dc.subject | Image registration | en_US |
dc.subject | Image segmentation | en_US |
dc.title | Lung Cancer Radiomics: Early Prognosis using Spatio-Temporal Low Dose Cone-Beam CT Images | en_US |
dc.type | Thesis | en_US |