143 related articles for article (PubMed ID: 36400881)
41. Development of a predictive radiomics model for lymph node metastases in pre-surgical CT-based stage IA non-small cell lung cancer.
Cong M; Feng H; Ren JL; Xu Q; Cong L; Hou Z; Wang YY; Shi G
Lung Cancer; 2020 Jan; 139():73-79. PubMed ID: 31743889
[TBL] [Abstract][Full Text] [Related]
42. Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer.
Nair JKR; Saeed UA; McDougall CC; Sabri A; Kovacina B; Raidu BVS; Khokhar RA; Probst S; Hirsh V; Chankowsky J; Van Kempen LC; Taylor J
Can Assoc Radiol J; 2021 Feb; 72(1):109-119. PubMed ID: 32063026
[TBL] [Abstract][Full Text] [Related]
43. Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.
Sun J; Liao X; Yan Y; Zhang X; Sun J; Tan W; Liu B; Wu J; Guo Q; Gao S; Li Z; Wang K; Li Q
Eur Radiol; 2022 Aug; 32(8):5319-5329. PubMed ID: 35201409
[TBL] [Abstract][Full Text] [Related]
44. (99m)Tc-3PRGD 2 SPECT/CT predicts the outcome of advanced nonsquamous non-small cell lung cancer receiving chemoradiotherapy plus bevacizumab.
Ma Q; Min K; Wang T; Chen B; Wen Q; Wang F; Ji T; Gao S
Ann Nucl Med; 2015 Jul; 29(6):519-27. PubMed ID: 25911312
[TBL] [Abstract][Full Text] [Related]
45. Can radiomics help to predict skeletal muscle response to chemotherapy in stage IV non-small cell lung cancer?
de Jong EEC; Sanders KJC; Deist TM; van Elmpt W; Jochems A; van Timmeren JE; Leijenaar RTH; Degens JHRJ; Schols AMWJ; Dingemans AC; Lambin P
Eur J Cancer; 2019 Oct; 120():107-113. PubMed ID: 31514107
[TBL] [Abstract][Full Text] [Related]
46. Computed tomography-based deep-learning prediction of neoadjuvant chemoradiotherapy treatment response in esophageal squamous cell carcinoma.
Hu Y; Xie C; Yang H; Ho JWK; Wen J; Han L; Lam KO; Wong IYH; Law SYK; Chiu KWH; Vardhanabhuti V; Fu J
Radiother Oncol; 2021 Jan; 154():6-13. PubMed ID: 32941954
[TBL] [Abstract][Full Text] [Related]
47. Applicability of a prognostic CT-based radiomic signature model trained on stage I-III non-small cell lung cancer in stage IV non-small cell lung cancer.
de Jong EEC; van Elmpt W; Rizzo S; Colarieti A; Spitaleri G; Leijenaar RTH; Jochems A; Hendriks LEL; Troost EGC; Reymen B; Dingemans AC; Lambin P
Lung Cancer; 2018 Oct; 124():6-11. PubMed ID: 30268481
[TBL] [Abstract][Full Text] [Related]
48. Cascaded-Recalibrated Multiple Instance Deep Model for Pathologic-Level Lung Cancer Prediction in CT Images.
Wang Q; Zhou Y; Huang J; Liu Z; Zhang W; Liu Q; Cheng JZ
Comput Intell Neurosci; 2022; 2022():9469234. PubMed ID: 35733559
[TBL] [Abstract][Full Text] [Related]
49. DCT-MIL: Deep CNN transferred multiple instance learning for COPD identification using CT images.
Xu C; Qi S; Feng J; Xia S; Kang Y; Yao Y; Qian W
Phys Med Biol; 2020 Jul; 65(14):145011. PubMed ID: 32235077
[TBL] [Abstract][Full Text] [Related]
50. Feature-shared adaptive-boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images.
Wang J; Chen X; Lu H; Zhang L; Pan J; Bao Y; Su J; Qian D
Med Phys; 2020 Apr; 47(4):1738-1749. PubMed ID: 32020649
[TBL] [Abstract][Full Text] [Related]
51. Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.
Huang C; Lv W; Zhou C; Mao L; Xu Q; Li X; Qi L; Xia F; Li X; Zhang Q; Zhang L; Lu G
Eur Radiol; 2020 Dec; 30(12):6913-6923. PubMed ID: 32696253
[TBL] [Abstract][Full Text] [Related]
52. Applying a CT texture analysis model trained with deep-learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis.
Wang Q; Xu S; Zhang G; Zhang X; Gu J; Yang S; Zeng M; Zhang Z
J Appl Clin Med Phys; 2022 Nov; 23(11):e13759. PubMed ID: 35998185
[TBL] [Abstract][Full Text] [Related]
53. Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker.
He B; Dong D; She Y; Zhou C; Fang M; Zhu Y; Zhang H; Huang Z; Jiang T; Tian J; Chen C
J Immunother Cancer; 2020 Jul; 8(2):. PubMed ID: 32636239
[TBL] [Abstract][Full Text] [Related]
54. Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases.
Ibrahim DM; Elshennawy NM; Sarhan AM
Comput Biol Med; 2021 May; 132():104348. PubMed ID: 33774272
[TBL] [Abstract][Full Text] [Related]
55. A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma.
Lu L; Wang D; Wang L; E L; Guo P; Li Z; Xiang J; Yang H; Li H; Yin S; Schwartz LH; Xie C; Zhao B
Eur Radiol; 2020 Jul; 30(7):3614-3623. PubMed ID: 32086583
[TBL] [Abstract][Full Text] [Related]
56. Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer.
Nibid L; Greco C; Cordelli E; Sabarese G; Fiore M; Liu CZ; Ippolito E; Sicilia R; Miele M; Tortora M; Taffon C; Rakaee M; Soda P; Ramella S; Perrone G
PLoS One; 2023; 18(11):e0294259. PubMed ID: 38015944
[TBL] [Abstract][Full Text] [Related]
57. Computer-aided diagnosis of ground glass pulmonary nodule by fusing deep learning and radiomics features.
Hu X; Gong J; Zhou W; Li H; Wang S; Wei M; Peng W; Gu Y
Phys Med Biol; 2021 Mar; 66(6):065015. PubMed ID: 33596552
[TBL] [Abstract][Full Text] [Related]
58. Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis.
Yu L; Tao G; Zhu L; Wang G; Li Z; Ye J; Chen Q
BMC Cancer; 2019 May; 19(1):464. PubMed ID: 31101024
[TBL] [Abstract][Full Text] [Related]
59. Assessment of lung cancer response after nonoperative therapy: tumor diameter, bidimensional product, and volume. A serial CT scan-based study.
Werner-Wasik M; Xiao Y; Pequignot E; Curran WJ; Hauck W
Int J Radiat Oncol Biol Phys; 2001 Sep; 51(1):56-61. PubMed ID: 11516851
[TBL] [Abstract][Full Text] [Related]
60. Radiomics for Classification of Lung Cancer Histological Subtypes Based on Nonenhanced Computed Tomography.
E L; Lu L; Li L; Yang H; Schwartz LH; Zhao B
Acad Radiol; 2019 Sep; 26(9):1245-1252. PubMed ID: 30502076
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]