Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models
Số trang: 10
Loại file: pdf
Dung lượng: 2.71 MB
Lượt xem: 11
Lượt tải: 0
Xem trước 1 trang đầu tiên của tài liệu này:
Thông tin tài liệu:
Preoperative prediction of pancreatic cystic neoplasm (PCN) differentiation has significant value for the implementation of personalized diagnosis and treatment plans. This study aimed to build radiomics deep learning (DL) models using computed tomography (CT) data for the preoperative differential diagnosis of common cystic tumors of the pancreas.
Nội dung trích xuất từ tài liệu:
Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models
Nội dung trích xuất từ tài liệu:
Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models
Tìm kiếm theo từ khóa liên quan:
BMC Cancer Preoperative prediction Pancreatic cystic neoplasm Personalized diagnosis Treatment plans Build radiomics deep learningGợi ý tài liệu liên quan:
-
Differences between physician and patient preferences for cancer treatments: A systematic review
13 trang 169 0 0 -
6 trang 166 0 0
-
Immune checkpoint inhibitors and their impact on liver enzymes and attenuation
7 trang 139 0 0 -
2011–2021 rising prevalence of HPV infection among oropharyngeal carcinoma in France
9 trang 110 0 0 -
12 trang 87 0 0
-
19 trang 72 0 0
-
17 trang 60 0 0
-
9 trang 36 0 0
-
11 trang 35 0 0
-
12 trang 34 0 0