Automatic detection of solitary pulmonary nodules using superpixels segmentation based iterative clustering approach
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03148-2
Abstract: Lung disease is the premier cause of cancer deaths all over the world. The lung cancer diagnosis is mediocre at an early stage since it is impotent by the radiologist. Various investigations conducted so far… read more here.
Keywords: lung; iterative clustering; superpixels segmentation; segmentation ... See more keywords
Customer segmentation based on store equity: What explains customer store preference?
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Brand Management"
DOI: 10.1057/s41262-017-0049-1
Abstract: Extant literature on brand equity in the context of the retail store is limited. This paper responds to calls for more research in this area by examining, though a quantitative design, shoppers’ perceptions of store… read more here.
Keywords: equity; segmentation based; store equity; customer segmentation ... See more keywords
Segmentation based on attitude: a cultural tourist dichotomy
Sign Up to like & getrecommendations! Published in 2024 at "Anatolia"
DOI: 10.1080/13032917.2024.2322621
Abstract: ABSTRACT A segmented approach is more effective in cultural tourism destination marketing. This article segments cultural tourists based on attitude and analyses their differences. The study sample consists of 200 tourists visiting Goa. Factor analysis… read more here.
Keywords: cultural tourist; based attitude; tourist dichotomy; attitude cultural ... See more keywords
Semantic-Segmentation-Based Deep Spectrum Sensing for Cochannel Signals
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3436683
Abstract: Spectrum sensing (SS) is essential in the cognitive radio-enabled Internet of Things (CR-IoT) to enable spectrum resource allocation. In this study, we propose a novel semantic segmentation-based deep SS (SSDSS) scheme for co-channel signals. Through… read more here.
Keywords: sequence; segmentation based; semantic segmentation; spectrum sensing ... See more keywords
Segmentation-Based Fine Registration of Very High Resolution Multitemporal Images
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2655941
Abstract: In this paper, a segmentation-based approach to fine registration of multispectral and multitemporal very high resolution (VHR) images is proposed. The proposed approach aims at estimating and correcting the residual local misalignment [also referred to… read more here.
Keywords: high resolution; segmentation based; fine registration; vhr images ... See more keywords
Depth and Video Segmentation Based Visual Attention for Embodied Question Answering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2021.3139957
Abstract: Embodied Question Answering (EQA) is a newly defined research area where an agent is required to answer the user's questions by exploring the real-world environment. It has attracted increasing research interests due to its broad… read more here.
Keywords: embodied question; segmentation based; question answering; math ... See more keywords
A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography
Sign Up to like & getrecommendations! Published in 2018 at "BioMed Research International"
DOI: 10.1155/2018/5682365
Abstract: Segmentation of the left ventricle (LV) from three-dimensional echocardiography (3DE) plays a key role in the clinical diagnosis of the LV function. In this work, we proposed a new automatic method for the segmentation of… read more here.
Keywords: segmentation based; left ventricle; segmentation; model ... See more keywords
WBC Image Segmentation Based on Residual Networks and Attentional Mechanisms
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1610658
Abstract: White blood cell (WBC) morphology examination plays a crucial role in diagnosing many diseases. One of the most important steps in WBC morphology analysis is WBC image segmentation, which remains a challenging task. To address… read more here.
Keywords: segmentation based; image segmentation; wbc image; segmentation ... See more keywords
Predictive power of deep-learning segmentation based prognostication model in non-small cell lung cancer
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2023.868471
Abstract: Purpose The study aims to create a model to predict survival outcomes for non-small cell lung cancer (NSCLC) after treatment with stereotactic body radiotherapy (SBRT) using deep-learning segmentation based prognostication (DESEP). Methods The DESEP model… read more here.
Keywords: segmentation based; desep; recistv1; learning segmentation ... See more keywords
Images Segmentation Based on Cutting the Graph into Communities
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15090312
Abstract: This article considers the problem of image segmentation based on its representation as an undirected weighted graph. Image segmentation is equivalent to partitioning a graph into communities. The image segment corresponds to each community. The… read more here.
Keywords: based cutting; segmentation based; graph communities; images segmentation ... See more keywords
Research on Medical Image Segmentation Based on SAM and Its Future Prospects
Sign Up to like & getrecommendations! Published in 2025 at "Bioengineering"
DOI: 10.3390/bioengineering12060608
Abstract: The rapid advancement of prompt-based models in natural language processing and image generation has revolutionized the field of image segmentation. The introduction of the Segment Anything Model (SAM) has further invigorated this domain with its… read more here.
Keywords: image; research medical; medical image; image segmentation ... See more keywords