CSE-GAN: A 3D conditional generative adversarial network with concurrent squeeze-and-excitation blocks for lung nodule segmentation.

Tyagi, Shweta; Talbar, Sanjay N

Tyagi, Shweta; Talbar, Sanjay N.

Affiliation

Tyagi S; Department of Electronics and Telecommunication Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India. Electronic address: 2019pec901@sggs.ac.in.
Talbar SN; Department of Electronics and Telecommunication Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India.

Comput Biol Med ; 147: 105781, 2022 08.

Article in En | MEDLINE | ID: mdl-35777084

Subject(s)

Image Processing, Computer-Assisted; Lung Neoplasms; Humans; Image Processing, Computer-Assisted/methods; Lung/diagnostic imaging; Lung Neoplasms/diagnostic imaging; Neural Networks, Computer

Key words

CT scan; Computer-aided diagnosis; Deep learning; Generative adversarial network; Lung cancer; Squeeze & excitation

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Lung Neoplasms Type of study: Screening_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2022 Document type: Article

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