View in EDS HTML Full Text PDF Full Text

One novel transfer learning-based CLIP model combined with self-attention mechanism for differentiating the tumor-stroma ratio in pancreatic ductal adenocarcinoma.

Saved in:
Bibliographic Details
Title: One novel transfer learning-based CLIP model combined with self-attention mechanism for differentiating the tumor-stroma ratio in pancreatic ductal adenocarcinoma.
Authors: Liao H; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China., Yuan J; College of Computer and Information Science, Southwest University, Chongqing, 400715, China., Liu C; Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China., Zhang J; Department of Radiology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China., Yang Y; Department of Pathology, Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing, 400016, China., Liang H; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China., Liu H; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China., Chen S; College of Computer and Information Science, Southwest University, Chongqing, 400715, China. csxpml@163.com., Li Y; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. lymzhang70@163.com.
Source: La Radiologia medica [Radiol Med] 2024 Nov; Vol. 129 (11), pp. 1559-1574. Date of Electronic Publication: 2024 Oct 16.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Springer Milan Country of Publication: Italy NLM ID: 0177625 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1826-6983 (Electronic) Linking ISSN: 00338362 NLM ISO Abbreviation: Radiol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1826-6983
DOI:10.1007/s11547-024-01902-y