HEE-SegGAN: A holistically-nested edge enhanced GAN for pulmonary nodule segmentation

• Yong Wang,

  Roles Methodology, Validation, Writing – original draft

  Affiliations Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia, Department of Information and Artificial Intelligence, Wuhu Institute of Technology, Wuhu, Anhui Province, China

  https://orcid.org/0009-0009-5667-709X

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• Seri Mastura Mustaza ,

  Roles Funding acquisition, Methodology, Writing – review & editing

  * E-mail: seri.mastura@ukm.edu.my

  Affiliation Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

  https://orcid.org/0000-0002-7907-4197

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• Mohammad Syuhaimi Ab-Rahman,

  Roles Funding acquisition, Writing – review & editing

  Affiliation Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

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• Siti Salasiah Mokri

  Roles Funding acquisition, Writing – review & editing

  Affiliation Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

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