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 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
Decision Support System for Liver Lesion Segmentation Based on Advanced Convolutional Neural Network Architectures
Sign Up to like & getrecommendations! Published in 2022 at "Bioengineering"
DOI: 10.3390/bioengineering9090467
Abstract: Given its essential role in body functions, liver cancer is the third most common cause of death from cancer, despite being the sixth most common type of cancer worldwide. Following advancements in medicine and image… read more here.
Keywords: neural network; system; segmentation based; segmentation ... See more keywords
Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12092132
Abstract: Background and Motivation: COVID-19 has resulted in a massive loss of life during the last two years. The current imaging-based diagnostic methods for COVID-19 detection in multiclass pneumonia-type chest X-rays are not so successful in… read more here.
Keywords: segmentation based; classification; detection; deep learning ... See more keywords