Showing 889–900 of 3871 results
BPO Management System Abstract?BPO Management System. The capability of relationship management is given more and more considerations with the development of BPO. The ability can be described from three fields: the will of relationship management, management capability for life cycle of service contractor relationship and the performance of relationship management, from which 10 indexes for…
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network Abstract? A generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) that employs an on-line gradient descent learning rule to address the electroencephalography (EEG) regression problem in brain dynamics for driving fatigue. < final year projects > [numbers_sections number=”1″ title=”Including…
Brain Metastases Detection Methods in Magnetic Resonance Imaging Abstract? Early detection of brain metastases increases survival in patients with cancer, since image-guided radiosurgery is the most widely used treatment. As support for the qualitative diagnosis made by radiologists, Computer Assisted Diagnosis provides a quantitative and reproducible analysis. This article reviews the methods for an automatic…
Brain MRI Segmentation based on Different Clustering Algorithms Abstract-In this study, MR Image segmentation has been realized with some clustering algorithms. In the study, the performances kmeans, lloyds, llyds-kmeans, pso clustering, ga clustering and jaya optimisation algorithms on some MR images from BRATS 2012 dataset have been compared. For the comparison, the manual segmentation results…
Brain tumor segmentation based on a hybrid clustering technique Abstract? : Brain tumor segmentation based on a hybrid clustering technique. Image segmentation refers to the process of partitioning an image into mutually exclusive regions. It can be considered as the most essential and crucial process for facilitating the delineation, characterization, and visualization of < Final...
Brain Tumor Segmentation Based on Local Independent Projection-Based Classification Abstract?Brain Tumor Segmentation Based on Local Independent Projection-Based Classification. Brain tumor segmentation is an important procedure for early tumor diagnosis and radiotherapy planning. Although numerous brain tumor segmentation methods have < Final Year Projects > been presented, enhancing tumor segmentation methods is still challenging because brain…
BrainTumorSegmentationUsingConvolutional NeuralNetworksinMRIImages Abstract?Amongbraintumors, gliomasare the most common and aggressive, leading to a very short life expectancy in their highest grade.Thus,treatment planning is a keystage to improve the quality of life of oncological patients. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database…
Breast Cancer Classification Based on Fully-Connected Layer First Convolutional Neural Networks Abstract-Both Wisconsin diagnostic breast cancer (WDBC) database and the Wisconsin breast cancer database (WBCD) are structured datasets described by cytological features. In this paper, we were seeking to identify ways improve the classification performance for each of the datasets based on convolutional neural networks…
Breast Cancer Histopathology Image Analysis: A Review Abstract?Breast Cancer Histopathology Image Analysis: A Review. This paper presents an overview of methods that have been proposed < Final Year Projects > for the analysis of breast cancer histopathology images. This research area has become particularly relevant with the advent of whole slide imaging (WSI) scanners, which…
Bridging the vocabulary gap Abstract?Bridging the vocabulary gap. The vocabulary gap between health seekers and providers has hindered the cross-system operability and the inter-user reusability. To bridge this gap, this paper presents a novel scheme to code the medical records by jointly utilizing local mining and global learning approaches, which are tightly linked and mutually…
Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge Abstract? Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge. The vocabulary gap between health seekers and providers has hindered the cross-system operability and the inter-user < Final Year Projects 2016 > reusability. To bridge this gap, this paper presents a novel scheme to…
Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge Abstract?Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge. The vocabulary gap between health seekers and providers has hindered the cross-system operability and the inter-user reusability. To bridge this gap,this paper presents a novel scheme to code the medical records by jointly utilizing local…
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