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SegChaNet: A Novel Model for Lung Cancer Segmentation in CT Scans
Accurate lung tumor identification is crucial for radiation treatment planning. Due to the low contrast of the lung tumor in computed tomography (CT) images, segmentation of the tumor in CT images is challenging. This paper effectively integrates the U-Net with the channel attention module (CAM) to...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124150/ https://www.ncbi.nlm.nih.gov/pubmed/35607427 http://dx.doi.org/10.1155/2022/1139587 |