Challenges and solutions of deep learning-based automated liver segmentation: A systematic review.

Autor: Ghobadi V; Faculty of Engineering, Universiti Putra Malaysia, Serdang, 43400, Selangor, Malaysia. Electronic address: gs56498@student.upm.edu.my., Ismail LI; Faculty of Engineering, Universiti Putra Malaysia, Serdang, 43400, Selangor, Malaysia. Electronic address: luthffi.ismail@upm.edu.my., Wan Hasan WZ; Faculty of Engineering, Universiti Putra Malaysia, Serdang, 43400, Selangor, Malaysia. Electronic address: wanzuha@upm.edu.my., Ahmad H; KPJ Specialist Hospital, Damansara Utama, Petaling Jaya, 47400, Selangor, Malaysia. Electronic address: drharon@gmail.com., Ramli HR; Faculty of Engineering, Universiti Putra Malaysia, Serdang, 43400, Selangor, Malaysia. Electronic address: hrhr@upm.edu.my., Norsahperi NMH; Faculty of Engineering, Universiti Putra Malaysia, Serdang, 43400, Selangor, Malaysia. Electronic address: nmhaziq@upm.edu.my., Tharek A; Hospital Sultan Abdul Aziz Shah, University Putra Malaysia, Serdang, 43400, Selangor, Malaysia. Electronic address: anastharek@upm.edu.my., Hanapiah FA; Faculty of Medicine, Universiti Teknologi MARA, Damansara Utama, Sungai Buloh, 47000, Selangor, Malaysia. Electronic address: fazah@uitm.edu.my.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2024 Dec 05; Vol. 185, pp. 109459. Date of Electronic Publication: 2024 Dec 05.