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This paper proposed an attention module that integrates the PET-CT diagnostic visual field and the modality characteristics of the lesion, that is, the multiple ...
Jan 11, 2023 · MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images. Comput Biol Med ...
MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images · Yang Zhou, Huiyan Jiang, +4 authors
Feb 1, 2023 · This paper proposed an attention module that integrates the PET-CT diagnostic visual field and the modality characteristics of the lesion, that ...
MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images.
MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images.
Yaming Li, Xuena Li: MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images. Comput. Biol ...
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The tumor image segmentation is an important basis for doctors to diagnose and formulate treatment planning. PET-CT is an extremely important technology for ...
MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images https://t.co/Ai65UAWLGs.
MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images · Article. February 2023. ·. 22 Reads.