Showing 481–492 of 2138 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 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…
BRINT: Binary Rotation Invariant and NoiseTolerant Texture Classification Abstract? BRINT: Binary Rotation Invariant and NoiseTolerant Texture Classification. In this paper, we propose a simple, efficient, yet robust multiresolution approach to texture classification?binary rotation invariant and noise tolerant (BRINT). The proposed approach is very fast to build, very compact while remaining robust to illumination variations, rotation…
Budget-Driven Scheduling Algorithms for Batches of MapReduce Jobs in Heterogeneous Clouds Abstract?Budget-Driven Scheduling Algorithms for Batches of MapReduce Jobs in Heterogeneous Clouds. In this paper, we consider task-level scheduling algorithms with respect to budget and deadline constraints for a batch of MapReduce jobs on a set of provisioned heterogeneous (virtual) machines in cloud platforms. The…
Bug navigator management system Abstract?Bug navigator management system. A bug navigation system or defect tracking system is a software application that keeps track of reported software bugs in software development projects. It may be regarded as a type of issue < Final Year Projects 2016 > tracking system. Many bug tracking systems, such as those…
Building a Scalable Database-Driven Reverse Dictionary Abstract? Building a Scalable Database-Driven Reverse Dictionary. we describe the design and implementation of a reverse dictionary. Unlike a traditional forward dictionary, which maps from words to their definitions, a reverse dictionary takes a user input phrase describing the desired concept, and returns a set of candidate words that…
Building a Scalable Database-Driven Reverse Dictionary Abstract? Building a Scalable Database-Driven Reverse Dictionary. We describe the design and implementation of a reverse dictionary. Unlike a traditional forward dictionary, which < Final Year Projects 2016 > maps from words to their definitions, a reverse dictionary takes a user input phrase describing the desired concept, and returns…
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