61: Conventional and Machine Learning Analyses to Differentiate Systematic Versus Random Inter-Fractional Changes in a Cohort of 250 Head and Neck Cancer Patients. (October 2021)
- Record Type:
- Journal Article
- Title:
- 61: Conventional and Machine Learning Analyses to Differentiate Systematic Versus Random Inter-Fractional Changes in a Cohort of 250 Head and Neck Cancer Patients. (October 2021)
- Main Title:
- 61: Conventional and Machine Learning Analyses to Differentiate Systematic Versus Random Inter-Fractional Changes in a Cohort of 250 Head and Neck Cancer Patients
- Authors:
- Harjai, Nabhya
Weppler, Sarah
Beers, Craig A.
Dyke, Lukas V.
Schinkel, Colleen
Smith, Wendy
Quon, Harvey - Abstract:
- Is Part Of:
- Radiotherapy and oncology. Volume 163(2021)Supplement 1
- Journal:
- Radiotherapy and oncology
- Issue:
- Volume 163(2021)Supplement 1
- Issue Display:
- Volume 163, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 163
- Issue:
- 1
- Issue Sort Value:
- 2021-0163-0001-0000
- Page Start:
- S75
- Page End:
- Publication Date:
- 2021-10
- Subjects:
- Oncology -- Periodicals
Radiotherapy -- Periodicals
Tumors -- Periodicals
Medical Oncology -- Periodicals
Neoplasms -- radiotherapy -- Periodicals
Radiotherapy -- Periodicals
Radiothérapie -- Périodiques
Cancérologie -- Périodiques
Tumeurs -- Périodiques
Electronic journals
616.9940642 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01678140 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/01678140 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/01678140 ↗
http://www.estro.org/ ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/radiotherapy-and-oncology/ ↗ - DOI:
- 10.1016/S0167-8140(21)08894-0 ↗
- Languages:
- English
- ISSNs:
- 0167-8140
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7240.790000
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British Library HMNTS - ELD Digital store - Ingest File:
- 20035.xml