Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 15 min ago
Peer-reviewedLicence not statedInternational Journal of Drug Delivery Technology

Generative AI for Synthetic Medical Image Generation in Oncology: Addressing Data Scarcity in AI-Driven Cancer Diagnosis

  • Ohmini Krishnamurthy Rajendran1
  1. 1Consultant, MBBS, MD Radiodiagnosis, KIMS Hospital and Research Centre, Krishna Rajendra Road, Parvathipuram, Vishweshwarapura, Basavanagudi, Bengaluru, Karnataka 560004
Open at sourcePDFDOICite

Related

  1. Enhancing Clinical Decision Support and Differential Diagnosis with Knowledge Graphs, and Retrieval Augmented Generation in Generative AI
    Henri Feto, Abicumaran Uthamacumaran, Hector Zenil
    arXivPreprintarXiv licenceFull textEpidemiology & public healtharXiv
  2. Chromophobe renal cell carcinoma: addressing the translational gap toward precision oncology for advanced disease
    Xiwen Lei, Rui Dong, Lijuan Yin +3
    Journal of Translational MedicinePeer-reviewedCC BY-NC-ND 4.0Full textGeneral medicinePMCEurope PMC
  3. Addressing unmet clinical needs in treatment-resistant breast cancer: expanding the diagnostic–prognostic landscape through next-generation inflammatory signatures
    Emmanuel Ifeanyi Obeagu
    Oncology reviewsPeer-reviewedCC BYFull textOncologyEurope PMCPMC
  4. Cumate-inducible models of MYC-driven neuroblastoma identify mitoribosomal synthetic lethality as a precision oncology vulnerability in MYC(N)-amplified tumors
    A. Kubistova, I. Horak, T. Barta +5
    bioRxivPreprintCC BY-NDFull textOncologybioRxiv
  5. Generative Artificial Intelligence Models in Breast Cancer Diagnosis: A Systematic Review
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{rajendran2026generative,
  title = {{Generative AI for Synthetic Medical Image Generation in Oncology: Addressing Data Scarcity in AI-Driven Cancer Diagnosis}},
  author = {Ohmini Krishnamurthy Rajendran},
  journal = {International Journal of Drug Delivery Technology},
  year = {2026},
  month = jun,
  doi = {10.25258/ijddt.16.49s.117},
  url = {https://doi.org/10.25258/ijddt.16.49s.117},
}
RIS
TY  - JOUR
TI  - Generative AI for Synthetic Medical Image Generation in Oncology: Addressing Data Scarcity in AI-Driven Cancer Diagnosis
AU  - Ohmini Krishnamurthy Rajendran
PY  - 2026
DA  - 2026/06/05
JO  - International Journal of Drug Delivery Technology
DO  - 10.25258/ijddt.16.49s.117
UR  - https://doi.org/10.25258/ijddt.16.49s.117
SN  - 0975-4415
ER  -