822 related articles for article (PubMed ID: 35433024)
41. Application of Deep Learning Architectures for Accurate and Rapid Detection of Internal Mechanical Damage of Blueberry Using Hyperspectral Transmittance Data.
Wang Z; Hu M; Zhai G
Sensors (Basel); 2018 Apr; 18(4):. PubMed ID: 29642454
[TBL] [Abstract][Full Text] [Related]
42. A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI.
Zahoor MM; Qureshi SA; Bibi S; Khan SH; Khan A; Ghafoor U; Bhutta MR
Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408340
[TBL] [Abstract][Full Text] [Related]
43. Diagnosis of thyroid disease using deep convolutional neural network models applied to thyroid scintigraphy images: a multicenter study.
Zhao H; Zheng C; Zhang H; Rao M; Li Y; Fang D; Huang J; Zhang W; Yuan G
Front Endocrinol (Lausanne); 2023; 14():1224191. PubMed ID: 37635985
[TBL] [Abstract][Full Text] [Related]
44. Ependymoma and pilocytic astrocytoma: Differentiation using radiomics approach based on machine learning.
Li M; Wang H; Shang Z; Yang Z; Zhang Y; Wan H
J Clin Neurosci; 2020 Aug; 78():175-180. PubMed ID: 32336636
[TBL] [Abstract][Full Text] [Related]
45. Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features.
Ning Z; Luo J; Li Y; Han S; Feng Q; Xu Y; Chen W; Chen T; Zhang Y
IEEE J Biomed Health Inform; 2019 May; 23(3):1181-1191. PubMed ID: 29993591
[TBL] [Abstract][Full Text] [Related]
46. Timely Diagnosis of Acute Lymphoblastic Leukemia Using Artificial Intelligence-Oriented Deep Learning Methods.
Rezayi S; Mohammadzadeh N; Bouraghi H; Saeedi S; Mohammadpour A
Comput Intell Neurosci; 2021; 2021():5478157. PubMed ID: 34804144
[TBL] [Abstract][Full Text] [Related]
47. Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.
El-Khatib H; Popescu D; Ichim L
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32245258
[TBL] [Abstract][Full Text] [Related]
48. Computer-aided diagnostic system based on deep learning for classifying colposcopy images.
Liu L; Wang Y; Liu X; Han S; Jia L; Meng L; Yang Z; Chen W; Zhang Y; Qiao X
Ann Transl Med; 2021 Jul; 9(13):1045. PubMed ID: 34422957
[TBL] [Abstract][Full Text] [Related]
49. 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]
50. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
[TBL] [Abstract][Full Text] [Related]
51. Tongue image quality assessment based on a deep convolutional neural network.
Jiang T; Hu XJ; Yao XH; Tu LP; Huang JB; Ma XX; Cui J; Wu QF; Xu JT
BMC Med Inform Decis Mak; 2021 May; 21(1):147. PubMed ID: 33952228
[TBL] [Abstract][Full Text] [Related]
52. MB-AI-His: Histopathological Diagnosis of Pediatric Medulloblastoma and its Subtypes via AI.
Attallah O
Diagnostics (Basel); 2021 Feb; 11(2):. PubMed ID: 33672752
[TBL] [Abstract][Full Text] [Related]
53. Differentiation of lung and breast cancer brain metastases: Comparison of texture analysis and deep convolutional neural networks.
Gultekin MA; Peker AA; Oktay AB; Turk HM; Cesme DH; Shbair ATM; Yilmaz TF; Kaya A; Yasin AI; Seker M; Mayadagli A; Alkan A
J Clin Ultrasound; 2023; 51(9):1579-1586. PubMed ID: 37688435
[TBL] [Abstract][Full Text] [Related]
54. Automatic Lung Segmentation Based on Texture and Deep Features of HRCT Images with Interstitial Lung Disease.
Pang T; Guo S; Zhang X; Zhao L
Biomed Res Int; 2019; 2019():2045432. PubMed ID: 31871932
[TBL] [Abstract][Full Text] [Related]
55. Early Diagnosis of Oral Squamous Cell Carcinoma Based on Histopathological Images Using Deep and Hybrid Learning Approaches.
Fati SM; Senan EM; Javed Y
Diagnostics (Basel); 2022 Aug; 12(8):. PubMed ID: 36010249
[TBL] [Abstract][Full Text] [Related]
56. A Novel Method for Differential Prognosis of Brain Degenerative Diseases Using Radiomics-Based Textural Analysis and Ensemble Learning Classifiers.
Jain M; Rai CS; Jain J
Comput Math Methods Med; 2021; 2021():7965677. PubMed ID: 34394708
[TBL] [Abstract][Full Text] [Related]
57. Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.
Pota M; Scalco E; Sanguineti G; Farneti A; Cattaneo GM; Rizzo G; Esposito M
Artif Intell Med; 2017 Sep; 81():41-53. PubMed ID: 28325604
[TBL] [Abstract][Full Text] [Related]
58. AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies.
Abbasian Ardakani A; Mohammadi A; Vogl TJ; Kuzan TY; Acharya UR
J Clin Ultrasound; 2024 Feb; 52(2):131-143. PubMed ID: 37983736
[TBL] [Abstract][Full Text] [Related]
59. Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers.
Mougiakakou SG; Valavanis IK; Nikita A; Nikita KS
Artif Intell Med; 2007 Sep; 41(1):25-37. PubMed ID: 17624744
[TBL] [Abstract][Full Text] [Related]
60. Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets.
McAllister P; Zheng H; Bond R; Moorhead A
Comput Biol Med; 2018 Apr; 95():217-233. PubMed ID: 29549733
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
