A deep-learning enhanced algorithm for the automated detection of diabetic retinopathy
AR Beham, V Thanikaiselvan - International Journal of System Assurance …, 2023 - Springer
A commonly occurring issue in diabetic patients, Diabetic Retinopathy (DR) does lead to
progressive vision loss. It is not possible to restore the vision in the event of this …
progressive vision loss. It is not possible to restore the vision in the event of this …
[PDF][PDF] Deep Learning in Medical Image Super-Resolution: A Survey
V Patel, A Mankodia - academia.edu
Various deep learning (DL) algorithms, specific to convolutional neural networks (CNN),
have grown exponentially and have become a methodology of choice for medical image …
have grown exponentially and have become a methodology of choice for medical image …
[PDF][PDF] Intelligent Wireless Endoscopic Image Classification using Gannet Optimization with Deep Learning Model
M Amirthalingam, R Ponnusamy - researchgate.net
Wireless capsule endoscopy (WCE) is a non-invasive wireless imaging technology that
gained wider popularity. The main drawback of WCE is that it produces a massive amount of …
gained wider popularity. The main drawback of WCE is that it produces a massive amount of …
[PDF][PDF] Automated Wireless Capsule Endoscopy Image Classification using Reptile Search Optimization with Deep Learning Model
M Amirthalingam, R Ponnusamy - researchgate.net
Wireless Capsule Endoscopy (WCE) is one of the effective ways of investigating
Gastrointestinal Tract (GI) diseases and implementing painless intestine imaging …
Gastrointestinal Tract (GI) diseases and implementing painless intestine imaging …
[PDF][PDF] Modeling River Discharge using Deep Learning in the Ouémé catchment at Savè outlet (Benin, West Africa)
This paper presents a modeling approach based on Artificial Neural Networks (ANNs) in the
Ouémé river catchment at Savè. To do this, we used precipitation data as input over the …
Ouémé river catchment at Savè. To do this, we used precipitation data as input over the …