Computer-Aided Diagnosis and Staging of Pancreatic Cancer Based on CT Images
Pancreatic cancer (PC) is a malignant tumor that seriously threatens the survival of patients. Artificial classification has practical difficulties, such as unstable classification accuracy, a heavy workload, and the classification results depend on the subjective judgment of the clinician during th...
Saved in:
| Main Authors: | Min Li, Xiaohan Nie, Yilidan Reheman, Pan Huang, Shuailei Zhang, Yushuai Yuan, Chen Chen, Ziwei Yan, Cheng Chen, Xiaoyi Lv, Wei Han |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9152949/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of Cervical Biopsy Images Based on LASSO and EL-SVM
by: Pan Huang, et al.
Published: (2020-01-01) -
Machine learning unravels the mysteries of glioma typing and treatment
by: Ying Dang, et al.
Published: (2025-06-01) -
Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques
by: Muhamad Ashfaq, et al.
Published: (2025-05-01) -
Comparison of CT features between hyperlipidemic acute pancreatitis and acute biliary pancreatitis
by: Yanping GU, et al.
Published: (2025-08-01) -
A risk nomogram for 30-day mortality in Chinese patients with acute pancreatitis using LASSO-logistic regression
by: Ying Chen, et al.
Published: (2025-05-01)