Nanofabrication in polymeric materials with Raman scattering techniques based on noninvasive imaging for tumor precursor lesions-Reference-Cited by-同舟云学术

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Nanofabrication in polymeric materials with Raman scattering techniques based on noninvasive imaging for tumor precursor lesions

Published:2023-09-02 Issue:11 Volume:55 Page:
ISSN:0306-8919
Container-title:Optical and Quantum Electronics
language:en
Short-container-title:Opt Quant Electron

Author:

Singh Varun Kumar,Beemkumar N.,Kashyap Sneha,Gupta Swati,Vekariya Daxa,Balu Vincent,Rajput Mukrsh

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s11082-023-05221-w.pdf

Reference20 articles.

1. Alptekin, O., &Isik, Z. (2022). Analysis of data augmentation on skin lesion classification by using deep learning models. In: 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pp. 629–634. IEEE

2. Amin, J., Anjum, M.A., Sharif, M., Jabeen, S., Kadry, S., Moreno Ger, P.: A new model for brain tumor detection using ensemble transfer learning and quantum variational classifier. Comput. Intell. Neurosci. (2022). https://doi.org/10.1155/2022/3236305

3. Anta, J.A., Martínez-Ballestero, I., Eiroa, D., García, J., Rodríguez-Comas, J.: Artificial intelligence for the detection of pancreatic lesions. Int. J. Comput. Assist. Radiol. Surg. 17(10), 1855–1865 (2022)

4. Bhardwaj, P., Kumar, S., & Kumar, Y. (2022). Deep learning techniques in gastric cancer prediction and diagnosis. In: 2022 international conference on machine learning, big data, cloud and parallel computing (COM-IT-CON), Vol. 1, pp. 843–850. IEEE

5. Chen, F., Sun, C., Yue, Z., Zhang, Y., Xu, W., Shabbir, S., Yu, J.: Screening ovarian cancers with Raman spectroscopy of blood plasma coupled with machine learning data processing. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 265, 120355 (2022)

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