Automatic segmentation of the tumor in nonsmall‐cell lung cancer by combining coarse and fine segmentation-Reference-Cited by-同舟云学术

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Automatic segmentation of the tumor in nonsmall‐cell lung cancer by combining coarse and fine segmentation

Published:2023-01-13 Issue: Volume: Page:
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Zhang Fuli¹,Wang Qiusheng²,Fan Enyu²,Lu Na³,Chen Diandian³,Jiang Huayong³,Wang Yadi³

Affiliation:

1. Radiation Oncology Department The Seventh Medical Center of Chinese PLA General Hospital Beijing China

2. School of Automation Science and Electrical Engineering Beihang University Beijing China

3. Senior Department of Oncology The Fifth Medical Center of PLA General Hospital Beijing China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.16158

Reference33 articles.

1. Assessing Respiration-Induced Tumor Motion and Internal Target Volume Using Four-Dimensional Computed Tomography for Radiotherapy of Lung Cancer

2. Fully Convolutional Networks for Semantic Segmentation

3. IHC-Net: A fully convolutional neural network for automated nuclear segmentation and ensemble classification for Allred scoring in breast pathology

4. Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN)

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1. Enhancing non-small cell lung cancer tumor segmentation with a novel two-step deep learning approach;Journal of Radiation Research and Applied Sciences;2024-03

2. Robust explanation supervision for false positive reduction in pulmonary nodule detection;Medical Physics;2024-01-15

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