295 related articles for article (PubMed ID: 37523001)
1. A review of deep learning and radiomics approaches for pancreatic cancer diagnosis from medical imaging.
Yao L; Zhang Z; Keles E; Yazici C; Tirkes T; Bagci U
Curr Opin Gastroenterol; 2023 Sep; 39(5):436-447. PubMed ID: 37523001
[TBL] [Abstract][Full Text] [Related]
2. MRI-Based Radiomics and Deep Learning in Biological Characteristics and Prognosis of Hepatocellular Carcinoma: Opportunities and Challenges.
Xia T; Zhao B; Li B; Lei Y; Song Y; Wang Y; Tang T; Ju S
J Magn Reson Imaging; 2024 Mar; 59(3):767-783. PubMed ID: 37647155
[TBL] [Abstract][Full Text] [Related]
3. Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.
Dalal V; Carmicheal J; Dhaliwal A; Jain M; Kaur S; Batra SK
Cancer Lett; 2020 Jan; 469():228-237. PubMed ID: 31629933
[TBL] [Abstract][Full Text] [Related]
4. Shallow and deep learning classifiers in medical image analysis.
Prinzi F; Currieri T; Gaglio S; Vitabile S
Eur Radiol Exp; 2024 Mar; 8(1):26. PubMed ID: 38438821
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.
Papadimitroulas P; Brocki L; Christopher Chung N; Marchadour W; Vermet F; Gaubert L; Eleftheriadis V; Plachouris D; Visvikis D; Kagadis GC; Hatt M
Phys Med; 2021 Mar; 83():108-121. PubMed ID: 33765601
[TBL] [Abstract][Full Text] [Related]
6. Recent Advances in Deep Learning and Medical Imaging for Head and Neck Cancer Treatment: MRI, CT, and PET Scans.
Illimoottil M; Ginat D
Cancers (Basel); 2023 Jun; 15(13):. PubMed ID: 37444376
[TBL] [Abstract][Full Text] [Related]
7. AI applications to medical images: From machine learning to deep learning.
Castiglioni I; Rundo L; Codari M; Di Leo G; Salvatore C; Interlenghi M; Gallivanone F; Cozzi A; D'Amico NC; Sardanelli F
Phys Med; 2021 Mar; 83():9-24. PubMed ID: 33662856
[TBL] [Abstract][Full Text] [Related]
8. Imaging of Pancreatic Ductal Adenocarcinoma: An Update on Recent Advances.
Barat M; Marchese U; Pellat A; Dohan A; Coriat R; Hoeffel C; Fishman EK; Cassinotto C; Chu L; Soyer P
Can Assoc Radiol J; 2023 May; 74(2):351-361. PubMed ID: 36065572
[TBL] [Abstract][Full Text] [Related]
9. Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.
Si K; Xue Y; Yu X; Zhu X; Li Q; Gong W; Liang T; Duan S
Theranostics; 2021; 11(4):1982-1990. PubMed ID: 33408793
[TBL] [Abstract][Full Text] [Related]
10. Diagnostic ability of deep learning in detection of pancreatic tumour.
Dinesh MG; Bacanin N; Askar SS; Abouhawwash M
Sci Rep; 2023 Jun; 13(1):9725. PubMed ID: 37322046
[TBL] [Abstract][Full Text] [Related]
11. CT scan pancreatic cancer segmentation and classification using deep learning and the tunicate swarm algorithm.
Gandikota HP; S A; M SK
PLoS One; 2023; 18(11):e0292785. PubMed ID: 37930963
[TBL] [Abstract][Full Text] [Related]
12. Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space.
Fallahpoor M; Chakraborty S; Pradhan B; Faust O; Barua PD; Chegeni H; Acharya R
Comput Methods Programs Biomed; 2024 Jan; 243():107880. PubMed ID: 37924769
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review.
Jan Z; El Assadi F; Abd-Alrazaq A; Jithesh PV
J Med Internet Res; 2023 Mar; 25():e44248. PubMed ID: 37000507
[TBL] [Abstract][Full Text] [Related]
14. The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics.
Kaneko M; Magoulianitis V; Ramacciotti LS; Raman A; Paralkar D; Chen A; Chu TN; Yang Y; Xue J; Yang J; Liu J; Jadvar DS; Gill K; Cacciamani GE; Nikias CL; Duddalwar V; Jay Kuo CC; Gill IS; Abreu AL
Urol Clin North Am; 2024 Feb; 51(1):1-13. PubMed ID: 37945095
[TBL] [Abstract][Full Text] [Related]
15. Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models.
Liang W; Tian W; Wang Y; Wang P; Wang Y; Zhang H; Ruan S; Shao J; Zhang X; Huang D; Ding Y; Bai X
BMC Cancer; 2022 Nov; 22(1):1237. PubMed ID: 36447168
[TBL] [Abstract][Full Text] [Related]
16. Clinical application of deep learning and radiomics in hepatic disease imaging: a systematic scoping review.
Wang L; Zhang L; Jiang B; Zhao K; Zhang Y; Xie X
Br J Radiol; 2022 Aug; 95(1136):20211136. PubMed ID: 35816550
[TBL] [Abstract][Full Text] [Related]
17. Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.
Bedrikovetski S; Dudi-Venkata NN; Kroon HM; Seow W; Vather R; Carneiro G; Moore JW; Sammour T
BMC Cancer; 2021 Sep; 21(1):1058. PubMed ID: 34565338
[TBL] [Abstract][Full Text] [Related]
18. CT and MRI of abdominal cancers: current trends and perspectives in the era of radiomics and artificial intelligence.
Barat M; Pellat A; Hoeffel C; Dohan A; Coriat R; Fishman EK; Nougaret S; Chu L; Soyer P
Jpn J Radiol; 2024 Mar; 42(3):246-260. PubMed ID: 37926780
[TBL] [Abstract][Full Text] [Related]
19. CT and MRI of pancreatic tumors: an update in the era of radiomics.
Bartoli M; Barat M; Dohan A; Gaujoux S; Coriat R; Hoeffel C; Cassinotto C; Chassagnon G; Soyer P
Jpn J Radiol; 2020 Dec; 38(12):1111-1124. PubMed ID: 33085029
[TBL] [Abstract][Full Text] [Related]
20. Radiomics in CT and MR imaging of the liver and pancreas: tools with potential for clinical application.
Berbís MÁ; Godino FP; Rodríguez-Comas J; Nava E; García-Figueiras R; Baleato-González S; Luna A
Abdom Radiol (NY); 2024 Jan; 49(1):322-340. PubMed ID: 37889265
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
