RECNN-CGAN: A Resource-Efficient Deep Learning Framework for Multi-Class Mammogram Classification and Diagnosis.

Thankaraj HV, Thiyagarajan M

DOI: 10.2174/0115734056476762260628042851
Published: 2026 Sep 23
Container: Current medical imaging
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2174/0115734056476762260628042851,
  title = {RECNN-CGAN: A Resource-Efficient Deep Learning Framework for Multi-Class Mammogram Classification and Diagnosis.},
  author = {Thankaraj HV and Thiyagarajan M},
  year = {2026},
  journal = {Current medical imaging},
  doi = {10.2174/0115734056476762260628042851},
  url = {https://doi.org/10.2174/0115734056476762260628042851}
}

RIS

TY  - JOUR
TI  - RECNN-CGAN: A Resource-Efficient Deep Learning Framework for Multi-Class Mammogram Classification and Diagnosis.
AU  - Thankaraj HV
AU  - Thiyagarajan M
PY  - 2026
JO  - Current medical imaging
DO  - 10.2174/0115734056476762260628042851
UR  - https://doi.org/10.2174/0115734056476762260628042851
ER  -

APA

HV, T., & M, T. (2026). RECNN-CGAN: A Resource-Efficient Deep Learning Framework for Multi-Class Mammogram Classification and Diagnosis.. Current medical imaging. https://doi.org/10.2174/0115734056476762260628042851

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pubmed · retrieved 2026-09-26T04:55:32.627Z