Cargando…
SkinNet-16: A deep learning approach to identify benign and malignant skin lesions
Skin cancer these days have become quite a common occurrence especially in certain geographic areas such as Oceania. Early detection of such cancer with high accuracy is of utmost importance, and studies have shown that deep learning- based intelligent approaches to address this concern have been fr...
Autores principales: | Ghosh, Pronab, Azam, Sami, Quadir, Ryana, Karim, Asif, Shamrat, F. M. Javed Mehedi, Bhowmik, Shohag Kumar, Jonkman, Mirjam, Hasib, Khan Md., Ahmed, Kawsar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395205/ https://www.ncbi.nlm.nih.gov/pubmed/36003775 http://dx.doi.org/10.3389/fonc.2022.931141 |
Ejemplares similares
-
LungNet22: A Fine-Tuned Model for Multiclass Classification and Prediction of Lung Disease Using X-ray Images
por: Shamrat, F. M. Javed Mehedi, et al.
Publicado: (2022) -
SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm
por: Hussain, Muneezah, et al.
Publicado: (2023) -
A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity
por: Montaha, Sidratul, et al.
Publicado: (2022) -
COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images
por: Akter, Shamima, et al.
Publicado: (2021) -
BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images
por: Montaha, Sidratul, et al.
Publicado: (2021)