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Modified Double U-Net Architecture for Medical Image Segmentation

Published:2023-02 Issue:2 Volume:7 Page:151-162
ISSN:2469-7311
Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
language:
Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Deb Sagar Deep¹^ORCID,Jha Rajib Kumar¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/7433213/10035778/09946418.pdf?arnumber=9946418

Reference39 articles.

1. COVID-19 detection from chest X-Ray images using ensemble of CNN models

2. A Brain Tumor Image Segmentation Method Based on Quantum Entanglement and Wormhole Behaved Particle Swarm Optimization

4. Automated Brain Tumor Segmentation and Detection in MRI Using Enhanced Darwinian Particle Swarm Optimization(EDPSO)

5. Deep Residual Learning for Image Recognition

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1. Lung image segmentation via generative adversarial networks;Frontiers in Physiology;2024-08-16

2. CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images;Cognitive Computation;2024-05

3. Improving Biomedical Image Segmentation: An Extensive Analysis of U-Net for Enhanced Performance;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

4. CellSegUNet: an improved deep segmentation model for the cell segmentation based on UNet++ and residual UNet models;Neural Computing and Applications;2024-01-13

5. HCTA-Net: A Hybrid CNN-Transformer Attention Network for Surgical Instrument Segmentation;IEEE Transactions on Medical Robotics and Bionics;2023-11

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