Prostate cancer classification with MRI using Taylor-Bird Squirrel Optimization based Deep Recurrent Neural Network

Prostate cancer is a type of cancer that develops in the prostate. The prostate is a little gland in men that resembles a walnut and secretes seminal fluid, which nourishes and transports sperm. A Taylor-Bird Squirrel Optimization based Deep Recurrent Neural Network (Taylor-BSO based Deep RNN) is created to determine the severity degree of prostate cancer classificationstart the diagnosis process . The Taylor series is combined with the Bird Swarm Algorithm (BSA) and Squirrel Search Algorithm (SSA), respectively, to create the Taylor-BSO. By filtering the MR image using the Hybrid Local and Non-Local Means (HLNLM) filtering model, the noise that was present in the input image is successfully eliminated. The procedure of cancer classification is designed for determining the existence or absence of a tumour using the features that were collected in the segmentation findings. The threshold number, however, categorizes the tumour severity level as either a high-grade or low-grade tumour. .