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research-article

Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique

Published: 01 April 2022 Publication History

Abstract

Breast cancer is one of the primary causes of death that is occurred in females around the world. So, the recognition and categorization of initial phase breast cancer are necessary to help the patients to have suitable action. However, mammography images provide very low sensitivity and efficiency while detecting breast cancer. Moreover, Magnetic Resonance Imaging (MRI) provides high sensitivity than mammography for predicting breast cancer. In this research, a novel Back Propagation Boosting Recurrent Wienmed model (BPBRW) with Hybrid Krill Herd African Buffalo Optimization (HKH-ABO) mechanism is developed for detecting breast cancer in an earlier stage using breast MRI images. Initially, the MRI breast images are trained to the system, and an innovative Wienmed filter is established for preprocessing the MRI noisy image content. Moreover, the projected BPBRW with HKH-ABO mechanism categorizes the breast cancer tumor as benign and malignant. Additionally, this model is simulated using Python, and the performance of the current research work is evaluated with prevailing works. Hence, the comparative graph shows that the current research model produces improved accuracy of 99.6% with a 0.12% lower error rate.

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          Published In

          cover image Multimedia Tools and Applications
          Multimedia Tools and Applications  Volume 81, Issue 10
          Apr 2022
          1439 pages

          Publisher

          Kluwer Academic Publishers

          United States

          Publication History

          Published: 01 April 2022
          Accepted: 21 January 2022
          Revision received: 17 January 2022
          Received: 05 March 2021

          Author Tags

          1. Breast cancer
          2. Deep learning
          3. Magnetic resonance imaging
          4. Krill herd optimization
          5. Back propagation
          6. African Buffalo optimization

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          • (2024)Ensemble learning-based early detection of influenza diseaseMultimedia Tools and Applications10.1007/s11042-023-15848-283:2(5723-5743)Online publication date: 1-Jan-2024

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