Cargando…
Leveraging Machine Learning for Accurate Detection and Diagnosis of Melanoma and Nevi: An Interdisciplinary Study in Dermatology
This study explores the application of machine learning and deep learning algorithms to facilitate the accurate diagnosis of melanoma, a type of malignant skin cancer, and benign nevi. Leveraging a dataset of 793 dermatological images from the Kaggle online platform (Google LLC, Mountain View, Calif...
Autores principales: | Riazi Esfahani, Parsa, Mazboudi, Pasha, Reddy, Akshay J, Farasat, Victoria P, Guirgus, Monica E, Tak, Nathaniel, Min, Mildred, Arakji, Gordon H, Patel, Rakesh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518209/ https://www.ncbi.nlm.nih.gov/pubmed/37750114 http://dx.doi.org/10.7759/cureus.44120 |
Ejemplares similares
-
Development of a Machine Learning-Based Model for Accurate Detection and Classification of Cervical Spine Fractures Using CT Imaging
por: Riazi Esfahani, Parsa, et al.
Publicado: (2023) -
A Review of the Usage and Post-surgical Outcomes of Anesthesia for Laser In Situ Keratomileusis (LASIK) Procedure
por: Riazi Esfahani, Parsa, et al.
Publicado: (2022) -
An Analysis of Lidocaine Usage in the Treatment of Squamous Cell Carcinoma
por: Maalouf, Maya, et al.
Publicado: (2023) -
Deep Learning Classification of Drusen, Choroidal Neovascularization, and Diabetic Macular Edema in Optical Coherence Tomography (OCT) Images
por: Riazi Esfahani, Parsa, et al.
Publicado: (2023) -
Impact of Pediatric Dermatologic Conditions on Child and Parent Quality of Life
por: Min, Mildred, et al.
Publicado: (2023)