Texture defect classification with multiple pooling and filter ensemble based on deep neural network
Fabric quality control is one of the most important phases of production in order to ensure
high-quality standards in the fabric production sector. For this reason, the development of …
high-quality standards in the fabric production sector. For this reason, the development of …
Classification of rice diseases using convolutional neural network models
Automatic diagnosis and control of rice plant disease are highly desired by agricultural
experts. Many machine learning approaches have been proposed in automating rice …
experts. Many machine learning approaches have been proposed in automating rice …
An automated image segmentation and useful feature extraction algorithm for retinal blood vessels in fundus images
AA Abdulsahib, MA Mahmoud, H Aris… - Electronics, 2022 - mdpi.com
The manual segmentation of the blood vessels in retinal images has numerous limitations. It
is very time consuming and prone to human error, particularly with a very twisted structure of …
is very time consuming and prone to human error, particularly with a very twisted structure of …
Retinal image blood vessel classification using hybrid deep learning in cataract diseased fundus images
With recent advanced technologies, various automated diagnosis tools were developed to
prevent retinal diseases. The automatic segmentation of blood vessels can help detect …
prevent retinal diseases. The automatic segmentation of blood vessels can help detect …
Assistive framework for automatic detection of all the zones in retinopathy of prematurity using deep learning
Retinopathy of prematurity (ROP) is a potentially blinding disorder seen in low birth weight
preterm infants. In India, the burden of ROP is high, with nearly 200,000 premature infants at …
preterm infants. In India, the burden of ROP is high, with nearly 200,000 premature infants at …
Analysis of retinal blood vessel segmentation techniques: a systematic survey
Abstract Segmentation of Blood Vessel is a challenging mission in medical image
processing to diagnose the disease. It evaluates vessels crucial in automatic retinal vessel …
processing to diagnose the disease. It evaluates vessels crucial in automatic retinal vessel …
Ischemic stroke lesion segmentation using mutation model and generative adversarial network
Ischemic stroke lesion segmentation using different types of images, such as Computed
Tomography Perfusion (CTP), is important for medical and Artificial intelligence fields. These …
Tomography Perfusion (CTP), is important for medical and Artificial intelligence fields. These …
Review the role of artificial intelligence in detecting and preventing financial fraud using natural language processing
Frauds accounted for significant losses in the financial sector and emerged as the industry's
biggest challenge. Companies invest significant amounts to prevent such fraud. It has been …
biggest challenge. Companies invest significant amounts to prevent such fraud. It has been …
A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)
FS Ahmad, L Ali, HA Khattak, T Hameed… - Journal of Ambient …, 2021 - Springer
Paralytic ileus (PI) is the pseudo-obstruction of the intestine secondary to intestinal muscle
paralysis. Causes of PI include electrolyte imbalances, gastroenteritis (inflammation or …
paralysis. Causes of PI include electrolyte imbalances, gastroenteritis (inflammation or …
Image based early detection of diabetic retinopathy: A systematic review on Artificial Intelligence (AI) based recent trends and approaches
Diabetic Retinopathy (DR) is a disease that damages the retina of the human eye due to
diabetic complications, resulting in a loss of vision. Blindness may be avoided If the DR …
diabetic complications, resulting in a loss of vision. Blindness may be avoided If the DR …