Machine learning based skin lesion segmentation method with novel borders and hair removal techniques.

Rehman, Mohibur; Ali, Mushtaq; Obayya, Marwa; Asghar, Junaid; Hussain, Lal; K Nour, Mohamed; Negm, Noha; Mustafa Hilal, Anwer

Rehman, Mohibur; Ali, Mushtaq; Obayya, Marwa; Asghar, Junaid; Hussain, Lal; K Nour, Mohamed; Negm, Noha; Mustafa Hilal, Anwer.

Affiliation

Rehman M; Department of Computer Science & Information Technology, Hazara University, Mansehra, Pakistan.
Ali M; Department of Computer Science & Information Technology, Hazara University, Mansehra, Pakistan.
Obayya M; Department of Biomedical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Asghar J; Faculty of Pharmacy, Gomal University, D I Khan, Pakistan.
Hussain L; Department of Computer Science and Information Technology, King Abdullah Campus Chatter Kalas, University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.
K Nour M; Department of Computer Science and Information Technology, Neelum Campus, University of Azad Jammu and Kashmir, Athmuqam, Azad Kashmir, Pakistan.
Negm N; Department of Computer Sciences, College of Computing and Information System, Umm Al-Qura University, Mecca, Saudi Arabia.
Mustafa Hilal A; Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha, Saudi Arabia.

PLoS One ; 17(11): e0275781, 2022.

Article in En | MEDLINE | ID: mdl-36355845

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Diseases / Skin Neoplasms / Hair Removal / Melanoma Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: Pakistán

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