Skin lesion segmentation using deep learning algorithm with ant colony optimization
Future investigations will focus on increasing the version's abilities by using multi-modal imaging information, experimenting with alternative optimization algorithms, and comparing real-world medical applicability. There is also a promising scope for enhancing computational performance and exploring the model's interpretability for more clinical adoption.
Authors
- Nadeem Sarwar (ORCID: https://orcid.org/0000-0001-8681-6382)
- Faris A. Almalki (ORCID: https://orcid.org/0000-0002-1291-055X)
- Qamar H. Naith (ORCID: https://orcid.org/0000-0002-8229-2427)
- Asma Irshad (ORCID: https://orcid.org/0000-0002-0594-5877)
- Kholod D. Alsufiani (ORCID: https://orcid.org/0009-0001-8881-9912)
Institutions
- University of the Punjab (PK)
- Taif University (SA)
- University of Jeddah (SA)
- Bahria University (PK)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1186/s12911-024-02686-x
- Citations
- 29
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 8.19
Funders
- Taif University