Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms.
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| Title: | Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms. |
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| Authors: | Liang M; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Liu Y; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Huang Y; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Ma G; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Han X; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Li S; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Hang J; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Xie H; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Chen L; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Liu X; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Wang S; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Xia T; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.; State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China. |
| Source: | International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group [Int J Hyperthermia] 2025 Dec; Vol. 42 (1), pp. 2497824. Date of Electronic Publication: 2025 Jul 09. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Informa Healthcare Country of Publication: England NLM ID: 8508395 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1464-5157 (Electronic) Linking ISSN: 02656736 NLM ISO Abbreviation: Int J Hyperthermia Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40635307 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Liang+M%22">Liang M</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Ma+G%22">Ma G</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Han+X%22">Han X</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Li+S%22">Li S</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Hang+J%22">Hang J</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Xie+H%22">Xie H</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Chen+L%22">Chen L</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Liu+X%22">Liu X</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Wang+S%22">Wang S</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Xia+T%22">Xia T</searchLink>; Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.; State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228508395%22">International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group</searchLink> [Int J Hyperthermia] 2025 Dec; Vol. 42 (1), pp. 2497824. <i>Date of Electronic Publication: </i>2025 Jul 09. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Informa+Healthcare%22">Informa Healthcare </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>8508395 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1464-5157 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2202656736%22">02656736 </searchLink><i>NLM ISO Abbreviation: </i>Int J Hyperthermia <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40635307 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/02656736.2025.2497824 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2497824 Titles: – TitleFull: Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liang M – PersonEntity: Name: NameFull: Liu Y – PersonEntity: Name: NameFull: Huang Y – PersonEntity: Name: NameFull: Ma G – PersonEntity: Name: NameFull: Han X – PersonEntity: Name: NameFull: Li S – PersonEntity: Name: NameFull: Hang J – PersonEntity: Name: NameFull: Xie H – PersonEntity: Name: NameFull: Chen L – PersonEntity: Name: NameFull: Liu X – PersonEntity: Name: NameFull: Wang S – PersonEntity: Name: NameFull: Xia T IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2025 Dec Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1464-5157 Numbering: – Type: volume Value: 42 – Type: issue Value: 1 Titles: – TitleFull: International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group Type: main |
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