Hybrid Approach of CNN & RNN for Breast Cancer Detection and Segmentation-Reference-Cited by-同舟云学术

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Hybrid Approach of CNN & RNN for Breast Cancer Detection and Segmentation

Published:2024-07-18 Issue: Volume:1 Page:1-6
ISSN:
Container-title:2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)
language:
Short-container-title:

Author:

Bala P. Manju¹,Priyadharshini S.²,Usharani S.³,Balachandar A.²

Affiliation:

1. IFET College of Engineering (An Autonomous Institution),Department of Artificial Intelligence and Data Science,India

2. IFET College of Engineering (An Autonomous Institution),Department of Computer Science and Engineering,India

3. IFET College of Engineering (An Autonomous Institution),Department of Artificial Intelligence and Machine Learning,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10670699/10670715/10670832.pdf?arnumber=10670832

Reference26 articles.

1. Technological advancements in cancer diagnostics: Improvements and limitations

2. A hybrid end-to-end learning approach for breast cancer diagnosis: convolutional recurrent network

3. A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images

4. Deep Learning Techniques for Multi-Dimensional Medical Image Analysis;Zanjani,2023

5. Research on Automatic Segmentation Algorithm of Brain Tumor Image Based on Multi-sequence Self-supervised Fusion in Complex Scenes

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