Machine Learning Enabled Photoacoustic Spectroscopy for Noninvasive Assessment of Breast Tumor Progression <i>In Vivo</i>: A Preclinical Study-Reference-Cited by-同舟云学术

Machine Learning Enabled Photoacoustic Spectroscopy for Noninvasive Assessment of Breast Tumor Progression In Vivo: A Preclinical Study

Author:

Rodrigues Jackson¹,Amin Ashwini²,Chandra Subhash¹,Mulla Nitufa J.¹,Nayak G. Subramanya³,Rai Sharada⁴,Ray Satadru⁵,Mahato Krishna Kishore¹^ORCID

Affiliation:

1. Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal 576104, India

2. Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India

3. Department of Electronics and Communication, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India

4. Department of Pathology, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Karnataka, Manipal 576104, India

5. Department of Surgery, Kasturba Medical College, Manipal Academy of Higher Education, Karnataka,Manipal 576104, India

Funder

Indian Council of Medical Research

Department of Biotechnology, Ministry of Science and Technology, India

Publisher

American Chemical Society (ACS)

Link

Reference71 articles.

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