Osteoporosis disease detection using optimized elman recurrent neural network based on hybrid bacterial colony optimization and tabu search algorithm

HIGHLIGHTS

• What: Y. Küçükçiloğlu et_al developed unimodal and multimodal DL-based diagnostic models to forecast bone mineral loss of the lumbar vertebrae using MR and CT imaging was the main goal of this study. The aim is to identify the early stage of osteoporosis from the patient medical data using a supervised detection model. The network architecture of the ERNN used in this research work is shown in Figure 1. This research work presented IBCO by combining TS and BCO to enhance convergence rate and archives global solutions for osteoporosis prediction when compared with some . . .
  

   

  

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