A Deep Learning Approach for Classification of Dentinal Tubule Occlusions

D.Statistical Analysis A. SEM Observation of Dentinal Tubule Occlusion by Treatment B. Dentinal Tubule Plugging Rates C.Multivariate Analysis of Dentinal Tubule Occlusion

D.Statistical Analysis A. SEM Observation of Dentinal Tubule Occlusion by Treatment B. Dentinal Tubule Plugging Rates C.Multivariate Analysis of Dentinal Tubule Occlusion

D.Statistical Analysis A. SEM Observation of Dentinal Tubule Occlusion by Treatment B. Dentinal Tubule Plugging Rates C.Multivariate Analysis of Dentinal Tubule Occlusion

A Deep Learning-based Approach for Banana Leaf Diseases Classification

Plant diseases are important factors as they result in serious reduction in quality and quantity of agriculture products. Therefore, early detection and diagnosis of these diseases are important. To this end, we propose a deep learning-based approach that automates the process of classifying banana leaves diseases. In particular, we make use of the LeNet architecture as a convolutional neural n...

A multiobjective deep learning approach for predictive classification in Neuroblastoma

Neuroblastoma is a strongly heterogeneous cancer with very diverse clinical courses that may vary from spontaneous regression to fatal progression; an accurate patient’s risk estimation at diagnosis is essential to design appropriate tumor treatment strategies. Neuroblastoma is a paradigm disease where different diagnostic and prognostic endpoints should be predicted from common molecular and c...