The proposed network effectively segments the lung region from the surrounding chest region hence, named as LungSeg-Net. In the proposed LungSeg-Net, the input lung CT slices are processed through the trail of encoders which encode these slices into a set of feature maps. Further, a multi-...
To address these challenges, multimodal fusion approach-based U-Net architecture (early fusion, late fusion, dense fusion, hyper-dense fusion, and hyper-dense VGG16 U-Net) are proposed for lung tumour segmentation. Dice scores of 73% show that hyper-dense VGG16 U...
The proposed method can potentially aid medical professionals in detecting lung cancer at an early stage. 展开 关键词: AI PET U-Net hyper-dense lung tumour segmentation multimodal fusion multimodality imaging CT DOI: 10.3390/diagnostics13223481 年份: 2023 ...