ARTIFICIAL NEURAL NETWORKS IN IMAGE PROCESSING FOR EARLY DETECTION OF BREAST CANCER.

Registration ID: IJNRD_186583

Published ID: IJNRD2302002

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Santhosh Bharadwaj M N , Thanuja D , Sinchana S

Artificial neural networks (ANNs) have been widely used in image processing for various applications, including early detection of breast cancer. One of the main advantages of using ANNs for early detection of breast cancer is their ability to learn from data. ANNs can be trained on large sets of data and can learn to detect patterns in images that are not visible to the human eye. This ability to learn from data can help to improve the accuracy of early detection of breast cancer, which is crucial for the successful treatment of this disease. The current state of research in this field is promising. Many studies have shown that ANNs can be used to improve the accuracy of early detection of breast cancer. However, more research is needed to further improve the accuracy of ANNs and to address the challenges mentioned above. The purpose of this review is to analyse the contents of recently published literature with special attention to techniques and states of the art of NN in medical imaging.

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Santhosh Bharadwaj M N, Thanuja D, & Sinchana S (February-2023). ARTIFICIAL NEURAL NETWORKS IN IMAGE PROCESSING FOR EARLY DETECTION OF BREAST CANCER.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(2), a7-a15. https://ijnrd.org/papers/IJNRD2302002.pdf

Volume 8 Issue 2, February-2023

Pages : a7-a15

Paper Reg. ID: IJNRD_186583

Published Paper Id: IJNRD2302002

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Research Area: Science & Technology

Country: Bangalore, Karnataka, India

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