132 related articles for article (PubMed ID: 34547683)
1. Highly accurate diagnosis of lung adenocarcinoma and squamous cell carcinoma tissues by deep learning.
Qi Y; Yang L; Liu B; Liu L; Liu Y; Zheng Q; Liu D; Luo J
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Jan; 265():120400. PubMed ID: 34547683
[TBL] [Abstract][Full Text] [Related]
2. Accurate diagnosis of lung tissues for 2D Raman spectrogram by deep learning based on short-time Fourier transform.
Qi Y; Yang L; Liu B; Liu L; Liu Y; Zheng Q; Liu D; Luo J
Anal Chim Acta; 2021 Sep; 1179():338821. PubMed ID: 34535256
[TBL] [Abstract][Full Text] [Related]
3. Diagnosis of cervical squamous cell carcinoma and cervical adenocarcinoma based on Raman spectroscopy and support vector machine.
Zheng C; Qing S; Wang J; Lü G; Li H; Lü X; Ma C; Tang J; Yue X
Photodiagnosis Photodyn Ther; 2019 Sep; 27():156-161. PubMed ID: 31136828
[TBL] [Abstract][Full Text] [Related]
4. Detection of Lung Cancer on Computed Tomography Using Artificial Intelligence Applications Developed by Deep Learning Methods and the Contribution of Deep Learning to the Classification of Lung Carcinoma.
Aydın N; Çelik Ö; Aslan AF; Odabaş A; Dündar E; Şahin MC
Curr Med Imaging; 2021; 17(9):1137-1141. PubMed ID: 33563200
[TBL] [Abstract][Full Text] [Related]
5. Rapid identification of cervical adenocarcinoma and cervical squamous cell carcinoma tissue based on Raman spectroscopy combined with multiple machine learning algorithms.
Zhang H; Cheng C; Gao R; Yan Z; Zhu Z; Yang B; Chen C; Lv X; Li H; Huang Z
Photodiagnosis Photodyn Ther; 2021 Mar; 33():102104. PubMed ID: 33212265
[TBL] [Abstract][Full Text] [Related]
6. The diagnosis of lung cancer using 1064-nm excited near-infrared multichannel Raman spectroscopy.
Yamazaki H; Kaminaka S; Kohda E; Mukai M; Hamaguchi HO
Radiat Med; 2003; 21(1):1-6. PubMed ID: 12801137
[TBL] [Abstract][Full Text] [Related]
7. Selection, Visualization, and Interpretation of Deep Features in Lung Adenocarcinoma and Squamous Cell Carcinoma.
Dehkharghanian T; Rahnamayan S; Riasatian A; Bidgoli AA; Kalra S; Zaveri M; Babaie M; Seyed Sajadi MS; Gonzalelz R; Diamandis P; Pantanowitz L; Huang T; Tizhoosh HR
Am J Pathol; 2021 Dec; 191(12):2172-2183. PubMed ID: 34508689
[TBL] [Abstract][Full Text] [Related]
8. Combining deep learning and coherent anti-Stokes Raman scattering imaging for automated differential diagnosis of lung cancer.
Weng S; Xu X; Li J; Wong STC
J Biomed Opt; 2017 Oct; 22(10):1-10. PubMed ID: 29086544
[TBL] [Abstract][Full Text] [Related]
9. Deep convolutional neural networks for tongue squamous cell carcinoma classification using Raman spectroscopy.
Yu M; Yan H; Xia J; Zhu L; Zhang T; Zhu Z; Lou X; Sun G; Dong M
Photodiagnosis Photodyn Ther; 2019 Jun; 26():430-435. PubMed ID: 31082525
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of integrated positron emission tomography and computed tomography accuracy in detecting lymph node metastasis in patients with adenocarcinoma vs squamous cell carcinoma.
Billè A; Okiror L; Skanjeti A; Errico L; Arena V; Penna D; Ardissone F; Pelosi E
Eur J Cardiothorac Surg; 2013 Mar; 43(3):574-9. PubMed ID: 22689182
[TBL] [Abstract][Full Text] [Related]
11. On-the-spot lung cancer differential diagnosis by label-free, molecular vibrational imaging and knowledge-based classification.
Gao L; Li F; Thrall MJ; Yang Y; Xing J; Hammoudi AA; Zhao H; Massoud Y; Cagle PT; Fan Y; Wong KK; Wang Z; Wong ST
J Biomed Opt; 2011 Sep; 16(9):096004. PubMed ID: 21950918
[TBL] [Abstract][Full Text] [Related]
12. Subsecond lung cancer detection within a heterogeneous background of normal and benign tissue using single-point Raman spectroscopy.
Leblond F; Dallaire F; Tran T; Yadav R; Aubertin K; Goudie E; Romeo P; Kent C; Leduc C; Liberman M
J Biomed Opt; 2023 Sep; 28(9):090501. PubMed ID: 37692565
[TBL] [Abstract][Full Text] [Related]
13. Diverse spectral band-based deep residual network for tongue squamous cell carcinoma classification using fiber optic Raman spectroscopy.
Ding J; Yu M; Zhu L; Zhang T; Xia J; Sun G
Photodiagnosis Photodyn Ther; 2020 Dec; 32():102048. PubMed ID: 33017657
[TBL] [Abstract][Full Text] [Related]
14. The high diagnostic accuracy of combined test of thyroid transcription factor 1 and Napsin A to distinguish between lung adenocarcinoma and squamous cell carcinoma: a meta-analysis.
Li L; Li X; Yin J; Song X; Chen X; Feng J; Gao H; Liu L; Wei S
PLoS One; 2014; 9(7):e100837. PubMed ID: 25003505
[TBL] [Abstract][Full Text] [Related]
15. Rapid histology of laryngeal squamous cell carcinoma with deep-learning based stimulated Raman scattering microscopy.
Zhang L; Wu Y; Zheng B; Su L; Chen Y; Ma S; Hu Q; Zou X; Yao L; Yang Y; Chen L; Mao Y; Chen Y; Ji M
Theranostics; 2019; 9(9):2541-2554. PubMed ID: 31131052
[TBL] [Abstract][Full Text] [Related]
16. An immunohistochemical analysis of a newly developed, mouse monoclonal p40 (BC28) antibody in lung, bladder, skin, breast, prostate, and head and neck cancers.
Tacha D; Bremer R; Haas T; Qi W
Arch Pathol Lab Med; 2014 Oct; 138(10):1358-64. PubMed ID: 24528495
[TBL] [Abstract][Full Text] [Related]
17. Surface-enhanced Raman spectroscopy of blood serum based on gold nanoparticles for the diagnosis of the oral squamous cell carcinoma.
Tan Y; Yan B; Xue L; Li Y; Luo X; Ji P
Lipids Health Dis; 2017 Apr; 16(1):73. PubMed ID: 28388900
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of napsin A, cytokeratin 5/6, p63, and thyroid transcription factor 1 in adenocarcinoma versus squamous cell carcinoma of the lung.
Whithaus K; Fukuoka J; Prihoda TJ; Jagirdar J
Arch Pathol Lab Med; 2012 Feb; 136(2):155-62. PubMed ID: 22288962
[TBL] [Abstract][Full Text] [Related]
19. Combined double CK5/P63 stain: useful adjunct test for diagnosing pulmonary squamous cell carcinoma.
Fatima N; Cohen C; Lawson D; Siddiqui MT
Diagn Cytopathol; 2012 Nov; 40(11):943-8. PubMed ID: 21472873
[TBL] [Abstract][Full Text] [Related]
20. MUC4 immunohistochemistry is useful in distinguishing epithelioid mesothelioma from adenocarcinoma and squamous cell carcinoma of the lung.
Mawas AS; Amatya VJ; Kushitani K; Kai Y; Miyata Y; Okada M; Takeshima Y
Sci Rep; 2018 Jan; 8(1):134. PubMed ID: 29317712
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
