Cargando…
GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointestinal Diseases Detection and Classification
In the last few years, artificial intelligence has shown a lot of promise in the medical domain for the diagnosis and classification of human infections. Several computerized techniques based on artificial intelligence (AI) have been introduced in the literature for gastrointestinal (GIT) diseases s...
Autores principales: | Khan, Muhammad Attique, Sahar, Naveera, Khan, Wazir Zada, Alhaisoni, Majed, Tariq, Usman, Zayyan, Muhammad H., Kim, Ye Jin, Chang, Byoungchol |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689856/ https://www.ncbi.nlm.nih.gov/pubmed/36359566 http://dx.doi.org/10.3390/diagnostics12112718 |
Ejemplares similares
-
Two-Stage Intelligent DarkNet-SqueezeNet Architecture-Based Framework for Multiclass Rice Grain Variety Identification
por: Fatima, Maryam, et al.
Publicado: (2022) -
BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification
por: Zahid, Usman, et al.
Publicado: (2022) -
BC(2)NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features Selection
por: Jabeen, Kiran, et al.
Publicado: (2023) -
MSeg-Net: A Melanoma Mole Segmentation Network Using CornerNet and Fuzzy K-Means Clustering
por: Nawaz, Marriam, 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)