Enhancing lung tumor segmentation: a comparative study of CNN-based network with multi-scale strategies and attention mechanisms and hybrid transformer-CNN network-Reference-Cited by-同舟云学术

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Enhancing lung tumor segmentation: a comparative study of CNN-based network with multi-scale strategies and attention mechanisms and hybrid transformer-CNN network

Published:2024-04-03 Issue: Volume: Page:94
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Container-title:Medical Imaging 2024: Computer-Aided Diagnosis
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Author:

Kim Hye Ryun,Lee Jumin,Hong Helen,Kim Bong-Seog

Publisher

SPIE

Reference10 articles.

1. Review of Deep Learning Based Automatic Segmentation for Lung Cancer Radiotherapy

2. MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT

3. AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation

4. MAU-Net: Multiple Attention 3D U-Net for Lung Cancer Segmentation on CT Images

5. An image is worth 16x16 words: Transformers for image recognition at scale;Dosovitskiy;arXiv preprint arXiv:2010.11929,2020

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