[PDF] Top 20 Automatic Classification of Cataract based on Deep Learnig
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Automatic Classification of Cataract based on Deep Learnig
... of cataract, which reduces the risk of patients to turning into ...image classification based on tradi- tional machine learning ...novel deep learning based method is proposed to ... See full document
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1. Survey and high level design of activity monitoring for icu patients
... of deep learning has paved way for many real time applications due its self-learning ...capability. Deep leaning merged with image processing provides excellent framework for vision based ... See full document
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Hierarchical Classification Algorithm Based on FastText
... the classification algorithm based on neural network has shown excellent effect in the computer vision field, and more and more researchers have applied it to the Natural language processing (NLP) ...the ... See full document
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Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods
... network based learning methods have been investigated in generic NLP as well as domain-specific ...text classification, two dominant meth- ods are: (1) Convolutional Neural Networks (CNNs) from the category ... See full document
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Automatic Detection and Classification of Argument Components using Multi task Deep Neural Network
... Linguistics, automatic ex- traction and analysis of arguments from natural language, commonly referred as Argument Min- ing, is a relatively new research ... See full document
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Cataract Classification and Grading: A Survey
... feature based on the grader’s expertise of cataract and the characteristics of the retro-illumination lens images ...regression based framework with BOF group features and a group sparsity constraint ... See full document
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Deep phenotyping: deep learning for temporal phenotype/genotype classification
... on automatic plant phenotyping and classification using high-throughput ...phenotypes based on data from known planted genotypes represents a typical experimental design where the aim is to obtain ... See full document
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Automatic Arabic diacritics restoration based on deep nets
... pattern classification problem, with seven diacritics classes being the ...diacritics classification can be divided into syntactical diacritization, caring about case- ending and morphological ... See full document
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EEG-Based Automatic Sleep Stage Classification
... Sleep is a fundamental restorative process for human mental and physical health [1]. The nightlong study of human sleep and sleep-related behaviors during the different sleep stages is essential in the diagnosis of sleep ... See full document
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Identification and Classification of Cataract Stages in Old Age People Using Deep Learning Algorithm
... classes based on the level of diabetic ...classification based. The inception V3 architecture is used where it is based on the architecture of ... See full document
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Deep Learning-Based Classification of Remote Sensing Image
... types classification algorithm have played a role of object classifiers with acceptable efficiency and low cost, but high resolution remote sensing image also brought coexistence of the opportunities and ... See full document
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Crowd-sourced data collection to support automatic classification of building footprint data
... Today citizens are becoming more and more important as a new source of geo-information. In the last few years, a number of different terms from different disciplines have emerged that describe the process of ... See full document
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Detection of Cataract by Statistical Features and Classification
... of cataract development is associated with UV exposure, steroid use, diabetes, and ...of cataract will prevent vision ...of cataract using statistical features and its severity has been classified ... See full document
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A robust modulation classification method using convolutional neural networks
... Since the prior information required by LB methods is often unavailable in practice, researchers have paid more attention to FB methods over the past two decades. The two most important parts of FB methods are feature ... See full document
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Mood Classification of Hindi Songs based on Lyrics
... mood classification of South Indian Classical music, ...mood classification of Hindustani classi- cal music consisting of 13 mood taxonomies (Happy, Exciting, Satisfaction, Peaceful, Grace- ful, Gentle, ... See full document
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Remote Automated Cataract Detection System Based on Fundus Images
... period. Cataract is an eye disorder which occurs when some of protein at lens clumped together that makes it dull and increases opacity of the lens, causing some loss of ...where cataract develops, ... See full document
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Unified Framework For Deep Learning Based Text Classification
... studies, deep learning is penetrating to text classification as ...for deep learning vary on different parameters such as learning model, data sets used, tuning of hyper-parameters, types of features ... See full document
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A Survey on Video Classification Methods Based on Deep Learning
... Deep learning is a data-based method. Many scientific research institutions have spent a lot of manpower and resources to collect and label video data sets for research in video related fields. Commonly ... See full document
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Deep LSTM based Feature Mapping for Query Classification
... type classification data set (Li and Roth, 2002) and ATIS (Airline Travel Informa- tion Systems) dataset (Hemphill et ...binary classification. The SVM based method uses a large amount of ... See full document
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Category Based Automatic Classification Of Online News Articles Using Machine Learning
... The process starts with a data collection module. In which we crawl tweets from twitter using tweepy then using the URL links in the tweets, we download news articles from different live news websites. We used a dataset ... See full document
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