181 related articles for article (PubMed ID: 35551276)
21. Artificial neural network-based diagnostic models for lung cancer combining conventional indicators with tumor markers.
Luo Y; Yuan H; Pei Q; Chen Y; Xian J; Du R; Ye T
Exp Biol Med (Maywood); 2023 May; 248(10):829-838. PubMed ID: 37403334
[TBL] [Abstract][Full Text] [Related]
22. Sampling methods and feature selection for mortality prediction with neural networks.
Steinmeyer C; Wiese L
J Biomed Inform; 2020 Nov; 111():103580. PubMed ID: 33031938
[TBL] [Abstract][Full Text] [Related]
23. Computer-aided diagnosis of endobronchial ultrasound images using convolutional neural network.
Chen CH; Lee YW; Huang YS; Lan WR; Chang RF; Tu CY; Chen CY; Liao WC
Comput Methods Programs Biomed; 2019 Aug; 177():175-182. PubMed ID: 31319946
[TBL] [Abstract][Full Text] [Related]
24. Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.
Paliwal N; Jaiswal P; Tutino VM; Shallwani H; Davies JM; Siddiqui AH; Rai R; Meng H
Neurosurg Focus; 2018 Nov; 45(5):E7. PubMed ID: 30453461
[TBL] [Abstract][Full Text] [Related]
25. Treatment of individual predictors with neural network algorithms improves Global Registry of Acute Coronary Events score discrimination.
Borracci RA; Higa CC; Ciambrone G; Gambarte J
Arch Cardiol Mex; 2021; 91(1):58-65. PubMed ID: 33661883
[TBL] [Abstract][Full Text] [Related]
26. FTIR-based spectrum of salivary exosomes coupled with computational-aided discriminating analysis in the diagnosis of oral cancer.
Zlotogorski-Hurvitz A; Dekel BZ; Malonek D; Yahalom R; Vered M
J Cancer Res Clin Oncol; 2019 Mar; 145(3):685-694. PubMed ID: 30603907
[TBL] [Abstract][Full Text] [Related]
27. Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting Strategies.
Hussain L; Saeed S; Awan IA; Idris A; Nadeem MSA; Chaudhry QU
Curr Med Imaging Rev; 2019; 15(6):595-606. PubMed ID: 32008569
[TBL] [Abstract][Full Text] [Related]
28. A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario.
Valente F; Henriques J; Paredes S; Rocha T; de Carvalho P; Morais J
Artif Intell Med; 2021 Jul; 117():102113. PubMed ID: 34127242
[TBL] [Abstract][Full Text] [Related]
29. How platinum-induced nephrotoxicity occurs? Machine learning prediction in non-small cell lung cancer patients.
Huang SH; Chu CY; Hsu YC; Wang SY; Kuo LN; Bai KJ; Yu MC; Chang JH; Liu EH; Chen HY
Comput Methods Programs Biomed; 2022 Jun; 221():106839. PubMed ID: 35550456
[TBL] [Abstract][Full Text] [Related]
30. External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.
Baldwin DR; Gustafson J; Pickup L; Arteta C; Novotny P; Declerck J; Kadir T; Figueiras C; Sterba A; Exell A; Potesil V; Holland P; Spence H; Clubley A; O'Dowd E; Clark M; Ashford-Turner V; Callister ME; Gleeson FV
Thorax; 2020 Apr; 75(4):306-312. PubMed ID: 32139611
[TBL] [Abstract][Full Text] [Related]
31. Can machine learning-based analysis of multiparameter MRI and clinical parameters improve the performance of clinically significant prostate cancer diagnosis?
Peng T; Xiao J; Li L; Pu B; Niu X; Zeng X; Wang Z; Gao C; Li C; Chen L; Yang J
Int J Comput Assist Radiol Surg; 2021 Dec; 16(12):2235-2249. PubMed ID: 34677748
[TBL] [Abstract][Full Text] [Related]
32. Convolutional neural network for discriminating nasopharyngeal carcinoma and benign hyperplasia on MRI.
Wong LM; King AD; Ai QYH; Lam WKJ; Poon DMC; Ma BBY; Chan KCA; Mo FKF
Eur Radiol; 2021 Jun; 31(6):3856-3863. PubMed ID: 33241522
[TBL] [Abstract][Full Text] [Related]
33. High frequency accuracy and loss data of random neural networks trained on image datasets.
Rorabaugh AK; Caíno-Lores S; Johnston T; Taufer M
Data Brief; 2022 Feb; 40():107780. PubMed ID: 35036484
[TBL] [Abstract][Full Text] [Related]
34. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.
Maniruzzaman M; Jahanur Rahman M; Ahammed B; Abedin MM; Suri HS; Biswas M; El-Baz A; Bangeas P; Tsoulfas G; Suri JS
Comput Methods Programs Biomed; 2019 Jul; 176():173-193. PubMed ID: 31200905
[TBL] [Abstract][Full Text] [Related]
35. Predictive value of a novel Asian lung cancer screening nomogram based on artificial intelligence and epidemiological characteristics.
Liu D; Sun X; Liu A; Li L; Li S; Li J; Liu X; Yang Y; Wu Z; Leng X; Wo Y; Huang Z; Su W; Du W; Yuan T; Jiao W
Thorac Cancer; 2021 Dec; 12(23):3130-3140. PubMed ID: 34713592
[TBL] [Abstract][Full Text] [Related]
36. Machine learning in medicine: a practical introduction.
Sidey-Gibbons JAM; Sidey-Gibbons CJ
BMC Med Res Methodol; 2019 Mar; 19(1):64. PubMed ID: 30890124
[TBL] [Abstract][Full Text] [Related]
37. Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.
Afzali MH; Sunderland M; Stewart S; Masse B; Seguin J; Newton N; Teesson M; Conrod P
Addiction; 2019 Apr; 114(4):662-671. PubMed ID: 30461117
[TBL] [Abstract][Full Text] [Related]
38. Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.
Nishio M; Nishizawa M; Sugiyama O; Kojima R; Yakami M; Kuroda T; Togashi K
PLoS One; 2018; 13(4):e0195875. PubMed ID: 29672639
[TBL] [Abstract][Full Text] [Related]
39. A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer.
Ho C; Zhao Z; Chen XF; Sauer J; Saraf SA; Jialdasani R; Taghipour K; Sathe A; Khor LY; Lim KH; Leow WQ
Sci Rep; 2022 Feb; 12(1):2222. PubMed ID: 35140318
[TBL] [Abstract][Full Text] [Related]
40. [Application of Radiomics in Classification and Prediction of Benign and Malignant Lung Tumors].
Zhou T; Zhu C; Shi F
Zhongguo Yi Liao Qi Xie Za Zhi; 2020 Feb; 44(2):113-117. PubMed ID: 32400982
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
