Medical Image Segmentation Algorithm Based on Deep Learning and Convolutional Neural Network-Reference-Cited by-同舟云学术

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Medical Image Segmentation Algorithm Based on Deep Learning and Convolutional Neural Network

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)
language:
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Author:

Gao Qi¹

Affiliation:

1. Baotou Medical College,Department of Computer Science and Technology,Inner Mongolia,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099473/10099480/10100142.pdf?arnumber=10100142

Reference10 articles.

1. A new effective and powerful medical image segmentation algorithm based on optimum path snakes;pedro;Applied Soft Computing Journal,2019

2. Academic self-concept mediates the effect of online learning engagement on deep learning in online courses for Chinese nursing students: A cross-sectional study;siai;Nurse Education Today,2022

3. Advance Approach for Effective EEG Artefacts Removal

4. Medical Image Segmentation Algorithm Based on Optimized Convolutional Neural Network-Adaptive Dropout Depth Calculation;feng ping;Complexity,2020

5. Multi-level classification: A generic classification method for medical datasets

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1. P-CNN: Percept-CNN for semantic segmentation;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2024-08-06

2. ResDAC-Net: a novel pancreas segmentation model utilizing residual double asymmetric spatial kernels;Medical & Biological Engineering & Computing;2024-03-08

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