Grid View:

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT



Accessible Melanoma Detection using Smart phones and Mobile Image Analysis


 Abstract:           MOBILE devices, including smart phones, are being used by billions of people all around the world. This creates the opportunity to design a wide variety of mobile image applications, Among many imaging applications, healthcare applications have drawn a lot of attentions..

AI based smart home surveillance system


Aim:          Aim of this project is to build a surveillance system for home to identify the presence of human and notify to the owner of house.Abstract:          Internet of Things (IoT) is an emerging technology which is making our world smarter. The dev..

An Energy- Efficient User Centric Approach High Capacity SG Heterogeneous Cellular Networks


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 i..

Arbitrary-Oriented Ship Detection Framework in Optical Remote-Sensing Images


Abstract               SHIP detection in remote-sensing images is important in both civilian and military applications, such as traffic dynamic monitoring, fishery management, security threats uncovering, illegal activities uncovering. the framework is designed to access the fin..



Aim:             The mainstay of the project is to determine the wound boundary on a foot ulcer image. Introduction:             Doctors base their wound assessment primarily on visual examination and manual measurements per..

Brain tumor segmentation and its area calculation in brain MR images using K-mean clustering and Fuzzy C-mean


Abstract:          Brain tumor identification is really challenging task in early stages of life. But now it became advanced with deep-learning. Now a day’s issue of brain tumor automatic identification is of great interest. In Order to detect the brain tumor of a patient we consider the data of pati..

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..

Cascaded Segmentation Detection Networks for Text Based Traffic Sign Detection


Abstract:           Since texts in traffic signs have precise and rich semantic information related to traffic condition, text-based traffic sign detection plays an important role in the autonomous driving and auxiliary driving of Intelligent Transportation System, just as traffic congestion det..

Combining Numerical Weather Predictions and Satellite Data for PV Energy nowcasting


Domain: Machine Learning                                                       ..

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..

Deep Ensemble Machine for Video Classification


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..

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets


Technology: Deep Learning                                                   Tool: MATLAB R2018aObjective..

Denoising in the Dark: Privacy Preserving Deep Neural Network Based Image Denoising


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..

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