DTDO: Driving Training Development Optimization enabled deep learning approach for brain tumour classification using MRI-Reference-Cited by-同舟云学术

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DTDO: Driving Training Development Optimization enabled deep learning approach for brain tumour classification using MRI

Published:2024-05-27 Issue: Volume: Page:1-42
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Prasad Vadamodula¹,Jeba Jingle Issac Diana²,Sriramakrishnan Gopalsamy Venkadakrishnan³

Affiliation:

1. Department of Computer Science & Engineering, Lendi Institute of Engineering & Technology, Jonnada, India

2. Department of Computer Science & Engineering, Christ (Deemed to be University), Bangalore, India

3. Computer Science and Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India

Funder

the work featured in this article

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2024.2351159

Reference44 articles.

1. Child Drawing Development Optimization Algorithm Based on Child’s Cognitive Development

2. Hybrid Wolf Pack Algorithm and Particle Swarm Optimization Algorithm for Breast Cancer Diagnosis

3. Automated brain tumor segmentation on multi-modal MR image using SegNet

4. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

5. Cognitive Intelligence for Monitoring Fractured Post-Surgery Ankle Activity Using Channel Information

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