Türk Medline
ADR Yönetimi
ADR Yönetimi

A HYBRID DEEP-ENSEMBLE DECISION-SUPPORT FRAMEWORK FOR RELIABLE EARLY BREAST CANCER DETECTION: A CROSS-VALIDATED OUTCOME ANALYSIS

Praveen PACHAURI, Kamal UPRETI, Pravin KSHIRSAGAR, Ganeshavishwaa V. RADHAKRISHNAN, Sivaneasan Bala KRISHNAN, Ajay KUMAR, Rituraj JAIN

Turkish Journal of Oncology - 2026;41(1):43-51

Department of Computer Science, Government Polytechnic Siwan, Siwan-India

 

The necessity to diagnose breast cancer early and correctly is the need to minimize the diagnostic uncertainty and unwarranted clinical procedures. This paper assesses the reliability of a hybrid deep-ensemble decision-support model in terms of diagnostic reliability, stability of outcome, and translational feasibility of the model via structured clinical data to detect early breast cancer.