Prostate Cancer Detection using Deep Learning-Reference-Cited by-同舟云学术

Prostate Cancer Detection using Deep Learning

Published:2023-04-10 Issue: Volume: Page:495-498
ISSN:2581-9429
Container-title:International Journal of Advanced Research in Science, Communication and Technology
language:en
Short-container-title:IJARSCT

Author:

Sachin Paithane ¹,Prashant Pawar ¹,Vivek Nikam ¹,Sanika Padwalkar ¹,Prof. Priti Warungse ¹

Affiliation:

1. NBN Sinhgad School of Engineering, Pune, Maharashtra, India

Abstract

According to WHO (World Health Organization), the estimated cancer cases in the year 2020 is 1.4 Million. Prostate cancer is one of the reason for death in men. Prostate cancer is cancer occurred in prostate gland. Prostate cancer begins when cells in the prostate gland start to grow out of control. It is detected using Ultrasound Image or Magnetic Resonance Image (MRI). Now a day after consulting with doctor there are other secondary tools which can help to detect prostate cancer. The system used for detecting prostate cancer are developed using different technology like Artificial Intelligence, Machine Learning and Deep Learning. In this paper we have trying to develop a system which can detect prostate cancer using input like ultrasound image and Magnetic Resonance Image.

Publisher

Naksh Solutions

Subject

General Medicine

Reference10 articles.

1. Y. Artan and I. S. Yetik, 2012, “Prostate cancer localization using multiparametric MRI based on semisupervised techniques with automated seed initialization,” IEEE Trans. Inf. Technol. Biomed., vol. 16, no. 6, pp. 1313–1323,doi: 10.1109/TITB.2012.2201731.

2. S. Azizi et al., 2018, “Deep recurrent neural networks for prostate cancer detection: Analysis of temporal enhanced ultrasound,” IEEE Trans. Med. Imaging, vol. 37, no. 12, pp. 2695–2703, doi: 10.1109/TMI.2018.2849959.

3. Brunese, F. Mercaldo, A. Reginelli, and A. Santone, 2019, “Prostate gleason score detection and cancer treatment through real-time formal verification,” IEEE Access, vol. 7, pp. 186236–186246, doi: 10.1109/ACCESS.2019.2961754.

4. Y. Feng et al., 2019, “A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection,” IEEE/ACM Trans. Comput. Biol. Bioinforma., vol. 16, no. 6, pp. 1794–1801, doi: 10.1109/TCBB.2018.2835444.

5. J. T. Kwak and S. M. Hewitt, 2017, “Lumen-based detection of prostate cancer via convolutional neural networks,” Med. Imaging 2017 Digit. Pathol., vol. 10140, p. 1014008, doi: 10.1117/12.2253513.

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