Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach.
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| Title: | Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach. |
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| Authors: | Tang FH; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China., Cheung EY; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China., Wong HL; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China., Yuen CM; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China., Yu MH; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China., Ho PC; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China. |
| Source: | Life (Basel, Switzerland) [Life (Basel)] 2022 Sep 05; Vol. 12 (9). Date of Electronic Publication: 2022 Sep 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101580444 Publication Model: Electronic Cited Medium: Print ISSN: 2075-1729 (Print) Linking ISSN: 20751729 NLM ISO Abbreviation: Life (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2075-1729 |
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| DOI: | 10.3390/life12091380 |
