Hybrid machine learning-based breast cancer segmentation framework using ultrasound images with optimal weighted features.

Vijayan S, Panneerselvam R, Roshini TV

DOI: 10.1002/cbf.4054
Published: 2024 Jun
Container: Cell biochemistry and function
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/cbf.4054,
  title = {Hybrid machine learning-based breast cancer segmentation framework using ultrasound images with optimal weighted features.},
  author = {Vijayan S and Panneerselvam R and Roshini TV},
  year = {2024},
  journal = {Cell biochemistry and function},
  doi = {10.1002/cbf.4054},
  url = {https://doi.org/10.1002/cbf.4054}
}

RIS

TY  - JOUR
TI  - Hybrid machine learning-based breast cancer segmentation framework using ultrasound images with optimal weighted features.
AU  - Vijayan S
AU  - Panneerselvam R
AU  - Roshini TV
PY  - 2024
JO  - Cell biochemistry and function
DO  - 10.1002/cbf.4054
UR  - https://doi.org/10.1002/cbf.4054
ER  -

APA

S, V., R, P., & TV, R. (2024). Hybrid machine learning-based breast cancer segmentation framework using ultrasound images with optimal weighted features.. Cell biochemistry and function. https://doi.org/10.1002/cbf.4054

Source records

pubmed · retrieved 2026-09-25T14:46:05.057Z