Implementation of deep learning with convolutional block attention module for detecting collimator rotation errors in stereotactic radiosurgery quality assurance.
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| Title: | Implementation of deep learning with convolutional block attention module for detecting collimator rotation errors in stereotactic radiosurgery quality assurance. |
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| Authors: | Dat LT; Ha Noi University of Sciences and Technology, Hanoi, Vietnam., Trung PQ; Ha Noi University of Sciences and Technology, Hanoi, Vietnam. qtphamhus@gmail.com.; Department of Radiation Therapy and Radiosurgery, 108 Military Central Hospital, Hanoi, Vietnam. qtphamhus@gmail.com. |
| Source: | Radiological physics and technology [Radiol Phys Technol] 2026 Mar; Vol. 19 (1), pp. 233-242. Date of Electronic Publication: 2026 Jan 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Japan Country of Publication: Japan NLM ID: 101467995 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1865-0341 (Electronic) Linking ISSN: 18650333 NLM ISO Abbreviation: Radiol Phys Technol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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