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Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network
Abstract: Accurate segmentation of cardiac bi-ventricle (CBV) from magnetic resonance (MR) images has a great signiﬁcance to analyze and evaluate the function of the cardiovascular system. However, the majority of cardiac MR images show that the similar intensity distribu..
Cost-Effective Vehicle Type Recognition in Surveillance Images with Deep Active Learning and Web Data
Abstract: With the rapid development of Intelligent Transportation System (ITS) technologies in recent years, vehicle type recognition (VTR) has been widely applied as a low-cost technology in tolls, transportation statistics, security and crime prevention issues. The early techniques for VTR mainl..
Abstract: Video classiﬁcation has been extensively researched in computer vision due to its wide spread use in many important applications such as human action recognition and dynamic scene classiﬁcation. It is highly desired to have an end-to-end learning framework that can establish effective video r..
Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images
Abstract: Dermoscopy is an important tool in the early detection of melanoma, increasing the diagnostic accuracy over clinical visual inspection in the hands of experienced physicians. A pigment network whose structure varies in size and shape is called an irregular or a typical pigment network (AP..
Technology: Deep Learning Tool: MATLAB R2018aObjective..
Abstract Large volumes of images are being exponentially generated today from various kinds of imaging devices (smart phones, medical imaging equipment, digital cameras, etc.). Such tremendous growth is further greatly accelerated along with the fast development and wide deployment of diverse In..
Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease
Abstract: Parkinson’s disease (PD) is a neurodegenerative disease histo-pathologically characterized by neuronal loss, Lewy bodies, and depigmentation of two paired neuromelanin (NM) rich brainstem structures: the substantial nigra pars compacta (SNc) and the locus coeruleus (LC). In spite of th..
Abstract While the concept of ultra-dense small cell networks (SCNs) has brought a number of significant opportunities for the telecommunication industry, it has also introduced a major challenge for researchers, who must develop techniques to reduce the sharp increase in power consumption that wi..
I-Am: Implicitly Authenticate Me Person Authentication on Mobile Devices Through Ear Shape and Arm Gesture
Abstract Biometric based person authentication and identification have become common practices in many contexts, and their diffusion is expected to steadily grow in the next years also thanks to the diffusion of the latest generation of mobile devi..
Technology: Deep Learning &..
Technology: Deep Learning  ..
Abstract:Information technologies are called upon to help authorities to deal efficiently with the containment measures of the pandemic. One of the most critical measures taken by governments worldwide is the declaration of quarantine status. This involves confining the population to their homes to prevent the transmission of the virus. This is..
Abstract: Scene text is one of the most common objects in the nature, which frequently appears on many practical scenes and contains important information for many applications such as blind navigation, scene understanding, autonomous driving, etc. Scene text detection (STD) is an irreplaceabl..
Particle Swarm Optimization Based Support Vector Machine (P-SVM) for the Segmentation and Classification of Plants
Abstract: The agricultural land mass is more than just being a feeding sourcing in today’s world. Indian economy is highly dependent of agricultural productivity. Therefore in field of agriculture, detection of disease in plants plays an important role. To detect a pla..