Investigating the key principles in two-step heterogeneous transfer learning for early laryngeal cancer identification.
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| Title: | Investigating the key principles in two-step heterogeneous transfer learning for early laryngeal cancer identification. |
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| Authors: | Fang X; Faculty of Applied Sciences, Macao Polytechnic University, Macao, 999078, China.; Department of Informatics Engineering, Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, 3000, Portugal., Chong CF; Faculty of Applied Sciences, Macao Polytechnic University, Macao, 999078, China.; Department of Informatics Engineering, Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, 3000, Portugal., Wong KL; Faculty of Applied Sciences, Macao Polytechnic University, Macao, 999078, China.; Department of Computer Science and Engineering, University of Bologna, Bologna, 40100, Italy., Simões M; Department of Informatics Engineering, Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, 3000, Portugal., Ng BK; Faculty of Applied Sciences, Macao Polytechnic University, Macao, 999078, China. bng@mpu.edu.mo. |
| Source: | Scientific reports [Sci Rep] 2025 Jan 16; Vol. 15 (1), pp. 2146. Date of Electronic Publication: 2025 Jan 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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