Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms.
Saved in:
| Title: | Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms. |
|---|---|
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
