PO-1527: When small is too small? Training Deep Learning models in limited datasets. (November 2020)
- Record Type:
- Journal Article
- Title:
- PO-1527: When small is too small? Training Deep Learning models in limited datasets. (November 2020)
- Main Title:
- PO-1527: When small is too small? Training Deep Learning models in limited datasets.
- Authors:
- Valdes, G.
Romero, M.
Interian, Y.
Solberg, T. - Abstract:
- Is Part Of:
- Radiotherapy and oncology. Volume 152(2020)Supplement 1
- Journal:
- Radiotherapy and oncology
- Issue:
- Volume 152(2020)Supplement 1
- Issue Display:
- Volume 152, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 152
- Issue:
- 1
- Issue Sort Value:
- 2020-0152-0001-0000
- Page Start:
- S825
- Page End:
- Publication Date:
- 2020-11
- 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)01545-0 ↗
- 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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- 21910.xml