[PDF] Top 20 Detection of Glaucoma with Deep Learning
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Detection of Glaucoma with Deep Learning
... of glaucoma which is based on Empirical Wavelet Transform ...supervised learning models with associated learning algorithms that analyse data used for classification and regression ... See full document
6
Detection of Mobile Keyloggers Using Deep Learning
... Shifu Hou, Lifei Chen, Yanfang Ye gave a dynamic analysis method named Component Traversal that can automatically execute the code routines of each given android app as completely as possible[3]. Based on the extracted ... See full document
5
Research on Face Detection based on Deep Learning
... target detection method based on deep learning can be roughly divided into two factions [8]: the first is based on the Region Proposal, such as R-CNN, SPP-net, Fast R-CNN, Faster R-CNN, R-FCN, ... See full document
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Glaucoma detection - a survey
... Disease, Glaucoma, Macular ...Disease Glaucoma is one of the leading causes of blindness. Glaucoma is a condition that causes damage to eye's optic ...continues, Glaucoma can lead to permanent ... See full document
6
Deep Learning Techniques for Object Detection
... Object Detection pertaining to motion-blur and de-focus, target ambiguity in video frames, occlusions and truncations etc, which is difficult to achieve in local as well as remote sensing areas making it a key ... See full document
8
Facial Keypoints Detection with Deep Learning
... keypoints detection is a very challenging task since the facial features vary significantly among different ...feature detection, such as combining multiple weak classifiers in a cascade ...the ... See full document
8
Quantity Detection of Steel Bars Based on Deep Learning
... Target detection is a basic task in computer ...object detection is applied to image retrieval, pedestrian detection, tracking, ...of deep learning, a large number of products using ... See full document
9
Deep Learning for Epileptic Spike Detection
... spikes detection system is highly useful and meaningful in that the conventional manual process is not only very tedious and time-consuming, but also subjective since it depends on the knowledge and experience of ... See full document
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Object Detection in an Image using Deep Learning
... object detection supported deep learning is a vital application in deep learning technology, that is characterised by its robust capability of feature learning and have ... See full document
6
Animate Object Detection Using Deep Learning
... are deep learning models as an alternative to traditional feature extraction and artificial neural network methods, have begun to be ...machine learning techniques, it can be useful to infer ... See full document
6
Object Detection using Deep Learning
... face detection systems lead to the development of accurate object detection system ...Object Detection purpose. Object detection is the process of finding instances of real- world objects such ... See full document
5
Deep Learning based Bird Audio Detection
... audio detection using simple convolutional neural networks (CNNs) is ...machine learning techniques have been explored for this ...on deep convolutional neural networks (CNNs) ...of deep ... See full document
6
Detection of Glaucoma Using Machine Learning Algorithms
... of glaucoma in its early stages is ...early detection of glaucoma allows for early treatment to delay vision ...Diagnosing glaucoma is problematic, especially when it is in the earliest stage ... See full document
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Tumor Hypoxia Mutation Detection Using Deep Learning-A Deep Drug Designing Strategy
... machine learning such as the deep learning technique has outperformed the conventional techniques of mutation ...Generally deep learning technique involves training of the model with ... See full document
5
A Survey on Intrusion Detection System using Machine Learning and Deep Learning
... intrusion detection system based on machine learning and deep learning have got many imbalances shows some problems like there are very limited datasets are available and the methods of ... See full document
7
A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos
... Among these seven benchmarking approaches, the first is the bottom-up visual saliency model from Harel et al. [16], in which feature maps are constructed based on Itti's method [20] and followed by normalization using a ... See full document
20
Curve Path Detection in Autonomous Vehicle using Deep Learning
... path detection in autonomous vehicles using deep learning in MATLAB a particular sequence has to be followed as shown in the ...lane detection algorithm was applied in the each and every ... See full document
6
Mosquito Larvae Detection using Deep Learning
... The deep learning architecture has allowed a computational model that were composed of multiple processing layers to learn representations of data with multiple levels of abstraction ...[3]. Deep ... See full document
6
Deep Learning based MURA Defect Detection
... Xian et al. [9] applied Deep Belief Network (DBN) as goodness of fit for defect identification in capsule and solar cells. Adaptation of DL in MURA domain is still limited mainly due to scarcity of public ... See full document
7
Textual Aggression Detection through Deep Learning
... Cyberbullying and cyberaggression are serious and widespread issues increasingly affecting In- ternet users. With the widespread of social media networks, bullying, once limited to particular places, can now occur ... See full document
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