Interpretable Retinal Disease Classification from OCT Images Using Deep Neural Network and Explainable AI

2021 ◽  
Author(s):  
Md Tanzim Reza ◽  
Farzad Ahmed ◽  
Shihab Sharar ◽  
Annajiat Alim Rasel
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Retinal Disease ◽  
Disease Classification ◽  
Explainable Ai

scholarly journals FGS-HDNN: Fractional Gravitational Search based Hybrid Deep Neural Network for Glaucoma Detection using Fundus Images

2021 ◽  
Author(s):  
M. Madhumalini ◽  
T. Meera Devi
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Early Stage ◽  
Retinal Disease ◽  
Accurate Diagnosis ◽  
Fundus Images ◽  
Irreversible Loss ◽  
Glaucoma Detection ◽  
Gravitational Search

Abstract Glaucoma is a retinal disease that damages the eye's optic nerve, frequently causing an irreversible loss of vision. However, the accurate diagnosis of this disease is difficult but early-stage diagnosis may cure this retinal disease. The objective of this research is to diagnose glaucoma disease in the top of the eye's optical nerve. The proposed approach detects glaucoma via four major steps namely Data enhancement phase, segmentation phase, feature extraction phase, and classification phase by the fractional gravitational search-based hybrid deep neural network (FGSA-HDNN) classifier. The proposed classifier is used for the exact classification of glaucoma infected images and normal images. Here, the proposed approach utilizes the statistical, textural, and vessel features from the segmented output. Also, the proposed FGSO algorithm is used for testing the deep neural network. From the experimental results, it is observed that the proposed glaucoma detection has obtained a sensitivity of 99.64%, a specificity of 97.84%, and an accuracy of 98.75% that outperforms other state-of-art methods.

Plant leaf disease classification using deep neural network

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
T. Meera Devi ◽  
Arivazhagan T. Shangar ◽  
R. Yashwin ◽  
J.S. Shabhareesh ◽  
N. Kasthuri
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Disease Classification ◽  
Plant Leaf ◽  
Leaf Disease

scholarly journals Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 20156-20169
Author(s):  
Seunghyeok Back ◽  
Seongju Lee ◽  
Sungho Shin ◽  
Yeonguk Yu ◽  
Taekyeong Yuk ◽  
...  
Keyword(s):  
Neural Network ◽  
Herpes Zoster ◽  
Skin Disease ◽  
Deep Neural Network ◽  
Disease Classification ◽  
Neural Network Ensemble
Sign in / Sign up

Export Citation Format

Share Document