Computer vision and machine‐learning techniques for quantification and predictive modeling of intracellular <scp>anticancer</scp> drug delivery by nanocarriers
- DOI
- 10.1002/ail2.50
- Published
- 2021-12-18
- Container
- Applied AI Letters
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/ail2.50,
title = {Computer vision and machine‐learning techniques for quantification and predictive modeling of intracellular <scp>anticancer</scp> drug delivery by nanocarriers},
author = {Sanjay Goswami and Kshama D. Dhobale and Ravindra D. Wavhale and Barnali Goswami and Shashwat S. Banerjee},
year = {2021},
journal = {Applied AI Letters},
doi = {10.1002/ail2.50},
url = {https://doi.org/10.1002/ail2.50}
}RIS
TY - JOUR TI - Computer vision and machine‐learning techniques for quantification and predictive modeling of intracellular <scp>anticancer</scp> drug delivery by nanocarriers AU - Sanjay Goswami AU - Kshama D. Dhobale AU - Ravindra D. Wavhale AU - Barnali Goswami AU - Shashwat S. Banerjee PY - 2021 JO - Applied AI Letters DO - 10.1002/ail2.50 UR - https://doi.org/10.1002/ail2.50 ER -
APA
Goswami, S., Dhobale, K. D., Wavhale, R. D., Goswami, B., & Banerjee, S. S. (2021). Computer vision and machine‐learning techniques for quantification and predictive modeling of intracellular <scp>anticancer</scp> drug delivery by nanocarriers. Applied AI Letters. https://doi.org/10.1002/ail2.50
Source records
- crossref · retrieved 2026-09-25T03:09:27.274Z