Early Prediction of Breast Cancer through Deep RNN Approach-Reference-Cited by-同舟云学术

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Early Prediction of Breast Cancer through Deep RNN Approach

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT)
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Author:

Gupta Anand Kumar¹,Sharma Avinash²,Srinivasulu Asadi¹,Barua Tarkeshwar³,Rajeyyagari Sivaram⁴,Subramanyam Madhusudhana⁵

Affiliation:

1. BlueCrest University,Dept. of Information Technology,Monrovia,Liberia

2. Maharishi Markandeshwar (Deemed to be University),Dept. of CSE,MM Engg college,Mullana,Haryana,India

3. REGex Software Services,Full Stack Developer & Trainer,Jaipur,India

4. Shaqra University,Dept. of IT and E-Learning,Shaqra,Soudi Arabia

5. King Khalid University,Dept. of Computer Science,Daharan,K.S.A

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10041435/10041260/10041634.pdf?arnumber=10041634

Reference31 articles.

1. Breast Cancer classification using Support Vector Machine and Neural Network;ali;International Journal of Science and Research,0

2. Diagnosis of Breast Cancer using Decision Tree Data Mining Technique

3. Breast Cancer Diagnosis by using k-Nearest Neighbor with Different Distances and Classification Rules;medjahed;International Journal of Computer Applications,2013

4. FBDM based time-frequency representation for sleep stages classification using EEG signals

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