PROJECT TITLE :

Progressively Trained Convolutional Neural Networks for Deformable Image Registration

ABSTRACT:

The quick registration periods of deep learning-based algorithms for deformable picture registration make them viable alternatives to conventional methods. For complicated deformation fields, a multi-resolution technique is necessary to estimate bigger displacements. The solution proposed in this article is to train neural networks incrementally. A convolutional neural network is first trained on low-resolution pictures and deformation fields before being trained on a larger version of the network. During training, additional layers are added to the network that are trained on more detailed data. For example, we show that a network trained this manner can learn greater displacements without reducing registration precision. This results in a more robust system that is less sensitive to massive misregistrations. On the intra-patient lung CT registration problem, we produce huge numbers of ground truth examples using random synthetic alterations applied to a training set of pictures. To determine how the progressive learning technique affects training, we examine the learnt representations in the gradually increasing network. A gradual training process leads to better registration accuracy while learning complicated deformations, as demonstrated in this study


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Deformable Object Tracking with Gated Fusion ABSTRACT: Integration of tracking-by-detection frameworks with convolutional neural networks has received increasing attention (CNNs). Existing detection-based tracking
PROJECT TITLE :Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch MatchingABSTRACT:Automatic and reliable segmentation of the prostate is a crucial however difficult task for various clinical applications
PROJECT TITLE :A novel obstacle detection method based on deformable grid for the visually impairedABSTRACT:To assist visually impaired individuals, a selection of obstacle detection (OD) methods with the monocular vision are
PROJECT TITLE : Video Dissemination over Hybrid Cellular and Ad Hoc Networks - 2014 ABSTRACT: We study the problem of disseminating videos to mobile users by using a hybrid cellular and ad hoc network. In particular, we formulate
PROJECT TITLE : Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor Network - 2014 ABSTRACT: Recently, the research focus on geographic routing, a promising routing scheme in wireless sensor networks (WSNs),

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry