145 related articles for article (PubMed ID: 30873967)
1. Low coherence quantitative phase microscopy with machine learning model and Raman spectroscopy for the study of breast cancer cells and their classification.
Dubey V; Ahmad A; Butola A; Qaiser D; Srivastava A; Mehta DS
Appl Opt; 2019 Feb; 58(5):A112-A119. PubMed ID: 30873967
[TBL] [Abstract][Full Text] [Related]
2. Machine learning models in breast cancer survival prediction.
Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
[TBL] [Abstract][Full Text] [Related]
3. Raman spectroscopy and machine learning for the classification of breast cancers.
Zhang L; Li C; Peng D; Yi X; He S; Liu F; Zheng X; Huang WE; Zhao L; Huang X
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Jan; 264():120300. PubMed ID: 34455388
[TBL] [Abstract][Full Text] [Related]
4. Resonance Raman and Raman spectroscopy for breast cancer detection.
Liu CH; Zhou Y; Sun Y; Li JY; Zhou LX; Boydston-White S; Masilamani V; Zhu K; Pu Y; Alfano RR
Technol Cancer Res Treat; 2013 Aug; 12(4):371-82. PubMed ID: 23448574
[TBL] [Abstract][Full Text] [Related]
5. Volumetric analysis of breast cancer tissues using machine learning and swept-source optical coherence tomography.
Butola A; Ahmad A; Dubey V; Srivastava V; Qaiser D; Srivastava A; Senthilkumaran P; Mehta DS
Appl Opt; 2019 Feb; 58(5):A135-A141. PubMed ID: 30873970
[TBL] [Abstract][Full Text] [Related]
6. Application of Raman Spectroscopy and Infrared Spectroscopy in the Identification of Breast Cancer.
Depciuch J; Kaznowska E; Zawlik I; Wojnarowska R; Cholewa M; Heraud P; Cebulski J
Appl Spectrosc; 2016 Feb; 70(2):251-63. PubMed ID: 26903561
[TBL] [Abstract][Full Text] [Related]
7. Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model.
Kast RE; Serhatkulu GK; Cao A; Pandya AK; Dai H; Thakur JS; Naik VM; Naik R; Klein MD; Auner GW; Rabah R
Biopolymers; 2008 Mar; 89(3):235-41. PubMed ID: 18041066
[TBL] [Abstract][Full Text] [Related]
8. Raman spectral feature selection using ant colony optimization for breast cancer diagnosis.
Fallahzadeh O; Dehghani-Bidgoli Z; Assarian M
Lasers Med Sci; 2018 Nov; 33(8):1799-1806. PubMed ID: 29862464
[TBL] [Abstract][Full Text] [Related]
9. Diagnosis of early-stage esophageal cancer by Raman spectroscopy and chemometric techniques.
Ishigaki M; Maeda Y; Taketani A; Andriana BB; Ishihara R; Wongravee K; Ozaki Y; Sato H
Analyst; 2016 Feb; 141(3):1027-33. PubMed ID: 26694647
[TBL] [Abstract][Full Text] [Related]
10. Label-free quantitative evaluation of breast tissue using Spatial Light Interference Microscopy (SLIM).
Majeed H; Nguyen TH; Kandel ME; Kajdacsy-Balla A; Popescu G
Sci Rep; 2018 May; 8(1):6875. PubMed ID: 29720678
[TBL] [Abstract][Full Text] [Related]
11. Raman 'optical biopsy' of human breast cancer.
Abramczyk H; Brozek-Pluska B; Surmacki J; Jablonska-Gajewicz J; Kordek R
Prog Biophys Mol Biol; 2012 Jan; 108(1-2):74-81. PubMed ID: 22122914
[TBL] [Abstract][Full Text] [Related]
12. Differences and Relationships Between Normal and Atypical Ductal Hyperplasia, Ductal Carcinoma In Situ, and Invasive Ductal Carcinoma Tissues in the Breast Based on Raman Spectroscopy.
Han B; Du Y; Fu T; Fan Z; Xu S; Hu C; Bi L; Gao T; Zhang H; Xu W
Appl Spectrosc; 2017 Feb; 71(2):300-307. PubMed ID: 28181469
[TBL] [Abstract][Full Text] [Related]
13. Raman spectroscopy and imaging: applications in human breast cancer diagnosis.
Brozek-Pluska B; Musial J; Kordek R; Bailo E; Dieing T; Abramczyk H
Analyst; 2012 Aug; 137(16):3773-80. PubMed ID: 22754917
[TBL] [Abstract][Full Text] [Related]
14. Classifying breast cancer tissue by Raman spectroscopy with one-dimensional convolutional neural network.
Ma D; Shang L; Tang J; Bao Y; Fu J; Yin J
Spectrochim Acta A Mol Biomol Spectrosc; 2021 Jul; 256():119732. PubMed ID: 33819758
[TBL] [Abstract][Full Text] [Related]
15. Raman spectroscopy and topological machine learning for cancer grading.
Conti F; D'Acunto M; Caudai C; Colantonio S; Gaeta R; Moroni D; Pascali MA
Sci Rep; 2023 May; 13(1):7282. PubMed ID: 37142690
[TBL] [Abstract][Full Text] [Related]
16. Integrated local binary pattern texture features for classification of breast tissue imaged by optical coherence microscopy.
Wan S; Lee HC; Huang X; Xu T; Xu T; Zeng X; Zhang Z; Sheikine Y; Connolly JL; Fujimoto JG; Zhou C
Med Image Anal; 2017 May; 38():104-116. PubMed ID: 28327449
[TBL] [Abstract][Full Text] [Related]
17. Accurate identification of breast cancer margins in microenvironments of ex-vivo basal and luminal breast cancer tissues using Raman spectroscopy.
Koya SK; Brusatori M; Yurgelevic S; Huang C; Werner CW; Kast RE; Shanley J; Sherman M; Honn KV; Maddipati KR; Auner GW
Prostaglandins Other Lipid Mediat; 2020 Dec; 151():106475. PubMed ID: 32711127
[TBL] [Abstract][Full Text] [Related]
18. Dual-modal cancer detection based on optical pH sensing and Raman spectroscopy.
Kim S; Lee SH; Min SY; Byun KM; Lee SY
J Biomed Opt; 2017 Oct; 22(10):1-6. PubMed ID: 29027408
[TBL] [Abstract][Full Text] [Related]
19. Visualization and tissue classification of human breast cancer images using ultrahigh-resolution OCT.
Yao X; Gan Y; Chang E; Hibshoosh H; Feldman S; Hendon C
Lasers Surg Med; 2017 Mar; 49(3):258-269. PubMed ID: 28264146
[TBL] [Abstract][Full Text] [Related]
20. Breast cancer detection based on serum sample surface enhanced Raman spectroscopy.
Vargas-Obieta E; Martínez-Espinosa JC; Martínez-Zerega BE; Jave-Suárez LF; Aguilar-Lemarroy A; González-Solís JL
Lasers Med Sci; 2016 Sep; 31(7):1317-24. PubMed ID: 27289243
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]