Variants of Artificial Bee Colony algorithm and its applications in medical image processing
Abstract The Artificial Bee Colony (ABC) technique is a highly effective method of
optimization inspired by the behavior of bees. Notably, the importance of the ABC algorithm …
optimization inspired by the behavior of bees. Notably, the importance of the ABC algorithm …
Automated techniques for blood vessels segmentation through fundus retinal images: A review
Retina is the interior part of human's eye, has a vital role in vision. The digital image
captured by fundus camera is very useful to analyze the abnormalities in retina especially in …
captured by fundus camera is very useful to analyze the abnormalities in retina especially in …
A survey on the applications of artificial bee colony in signal, image, and video processing
Artificial bee colony (ABC) algorithm is a swarm intelligence algorithm, which simulates the
foraging behavior of honeybees. It has been successfully applied to many optimization …
foraging behavior of honeybees. It has been successfully applied to many optimization …
Retinal vessel segmentation using neural network
S Thangaraj, V Periyasamy, R Balaji - IET Image Processing, 2018 - Wiley Online Library
Automatic extraction of retinal blood vessels plays an important role in the diagnosis of many
retinal diseases and also for diagnosing several complicated diseases such as stroke …
retinal diseases and also for diagnosing several complicated diseases such as stroke …
A reinforcement learning approach for reducing traffic congestion using deep Q learning
Nowadays, traffic congestion is a significant issue globally. The vehicle quantity has grown
dramatically, while road and transportation infrastructure capacities have yet to expand …
dramatically, while road and transportation infrastructure capacities have yet to expand …
Evolutionary computing enriched computer-aided diagnosis system for diabetic retinopathy: a survey
Complications caused due to diabetes mellitus result in significant microvasculature that
eventually causes diabetic retinopathy (DR) that keeps on increasing with time, and …
eventually causes diabetic retinopathy (DR) that keeps on increasing with time, and …
Revolutionizing healthcare: a comparative insight into deep learning's role in medical imaging
Abstract Recently, Deep Learning (DL) models have shown promising accuracy in analysis
of medical images. Alzeheimer Disease (AD), a prevalent form of dementia, uses Magnetic …
of medical images. Alzeheimer Disease (AD), a prevalent form of dementia, uses Magnetic …
Fuzzy-based artificial bee colony optimization for gray image segmentation
In this article, we have proposed an image segmentation algorithm FABC, which is a kind of
unsupervised classification (clustering), where we combine the concept of artificial bee …
unsupervised classification (clustering), where we combine the concept of artificial bee …
A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers
In the last 15 years, the segmentation of vessels in retinal images has become an intensively
researched problem in medical imaging, with hundreds of algorithms published. One of the …
researched problem in medical imaging, with hundreds of algorithms published. One of the …
Automated system for colon cancer detection and segmentation based on deep learning techniques
Colon cancer is one of the world's three most deadly and severe cancers. As with any
cancer, the key priority is early detection. Deep learning (DL) applications have recently …
cancer, the key priority is early detection. Deep learning (DL) applications have recently …