Search Results - "Pattern recognition letters"

A light CNN for detecting COVID-19 from CT scans of the chest by Polsinelli, Matteo, Cinque, Luigi, Placidi, Giuseppe

“…•A light CNN for efficient detection of COVID-19 from chest CT scans is proposed.•The accuracy is comparable with that of more complex CNN designs.•The…”
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Comparative analysis of image classification algorithms based on traditional machine learning and deep learning by Wang, Pin, Fan, En, Wang, Peng

“…•Representative SVM and CNN algorithms in traditional machine learning and deep learning for research.•Under other conditions being the same, the data sets are…”
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COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images by Afshar, Parnian, Heidarian, Shahin, Naderkhani, Farnoosh, Oikonomou, Anastasia, Plataniotis, Konstantinos N., Mohammadi, Arash

“…•Early diagnosis of COVID-19 is of paramount importance to break the chain of transition and flatten the epidemic curve.•Imaging techniques provide higher…”
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A novel deep learning based framework for the detection and classification of breast cancer using transfer learning by Khan, SanaUllah, Islam, Naveed, Jan, Zahoor, Ud Din, Ikram, Rodrigues, Joel J. P. C

“…•A deep learning-based framework is proposed for the classification of breast cancer in breast cytology images.•Three different deep learning architectures…”
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SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture by Trebing, Kevin, Staǹczyk, Tomasz, Mehrkanoon, Siamak

“…•A novel SmaAt-UNet model is introduced.•The core UNet model is equipped with attention mechanism and depthwise-separable convolutions.•This model requires a…”
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Deep-learning framework to detect lung abnormality – A study with chest X-Ray and lung CT scan images by Bhandary, Abhir, Prabhu, G. Ananth, Rajinikanth, V., Thanaraj, K. Palani, Satapathy, Suresh Chandra, Robbins, David E., Shasky, Charles, Zhang, Yu-Dong, Tavares, João Manuel R.S., Raja, N. Sri Madhava

“…•This work proposes a Modified AlexNet (MAN) deep-learning framework to evaluate the lung abnormality.•This work introduces a threshold filter to remove the…”
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A survey of recent advances in CNN-based single image crowd counting and density estimation by Sindagi, Vishwanath A., Patel, Vishal M.

“…•Survey on CNN-based approaches for crowd counting and density estimation.•Discussion on recent hand-crafted representations-based methods.•Recently datasets…”
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Unsupervised skin tissue segmentation for remote photoplethysmography by Bobbia, Serge, Macwan, Richard, Benezeth, Yannick, Mansouri, Alamin, Dubois, Julien

“…•A novel method for selecting the ROI for remote photoplethysmography algorithms is proposed.•Skin tissues are implicitly selected via their distinct…”
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A distinctive approach in brain tumor detection and classification using MRI by Amin, Javeria, Sharif, Muhammad, Yasmin, Mussarat, Fernandes, Steven Lawrence

“…•Automated method is proposed for detection and classification of tumors using MRI at the image and lesion levels.•Different techniques have been applied for…”
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Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019 by Tiwari, Arti, Srivastava, Shilpa, Pant, Millie

“…•Detailed discussion on the significance of MRI for brain tumor detection and classification of brain tumors.•Focus on Deep learning and metaheuristics methods…”
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Trends in IoT based solutions for health care: Moving AI to the edge by Greco, Luca, Percannella, Gennaro, Ritrovato, Pierluigi, Tortorella, Francesco, Vento, Mario

“…•A review about the use and evolution of IoT solutions in smart health care is presented.•The work discusses the role of AI in the internet of medical things…”
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Large group activity security risk assessment and risk early warning based on random forest algorithm by Chen, Yanyu, Zheng, Wenzhe, Li, Wenbo, Huang, Yimiao

“…•With the continuous development of artificial intelligence, machine learning, as an indispensable means to realize artificial intelligence, is constantly…”
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Deep k-Means: Jointly clustering with k-Means and learning representations by Moradi Fard, Maziar, Thonet, Thibaut, Gaussier, Eric

“…•Differentiable reformulation of the k-Means problem in a learned embedding space.•Proposition of an alternative to pretraining based on deterministic…”
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Classification of myocardial infarction with multi-lead ECG signals and deep CNN by Baloglu, Ulas Baran, Talo, Muhammed, Yildirim, Ozal, Tan, Ru San, Acharya, U Rajendra

“…•An efficient deep learning model for the diagnosis of MI from the standard 12 lead ECG.•The proposed model can successfully distinguish between 10 different…”
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Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model by Shankar, K., Sait, Abdul Rahaman Wahab, Gupta, Deepak, Lakshmanaprabu, S.K., Khanna, Ashish, Pandey, Hari Mohan

“…•Proposed a detection and classification model for fundus diabetic retinopathy (DR).•Histogram based segmentation takes place to extract the useful…”
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A Deep Learning-based Fast Fake News Detection Model for Cyber-Physical Social Services by Zhang, Qin, Guo, Zhiwei, Zhu, Yanyan, Vijayakumar, Pandi, Castiglione, Aniello, Gupta, Brij B.

“…•A fast fake news detection model using deep learning•An intelligent semantic analysis approach for short texts•Graphic expressions for illustration of…”
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50 years of biometric research: Accomplishments, challenges, and opportunities by Jain, Anil K., Nandakumar, Karthik, Ross, Arun

“…Biometric recognition refers to the automated recognition of individuals based on their biological and behavioral characteristics such as fingerprint, face,…”
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Machine Learning for Cultural Heritage: A Survey by Fiorucci, Marco, Khoroshiltseva, Marina, Pontil, Massimiliano, Traviglia, Arianna, Del Bue, Alessio, James, Stuart

“…•Analysis of Cultural Heritage (CH) and Machine Learning (ML) literature.•Taxonomy of ML algorithms and their respective application in CH.•Study of the…”
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LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement by Li, Chongyi, Guo, Jichang, Porikli, Fatih, Pang, Yanwei

“…•We propose a trainable CNN for weakly illuminated image enhancement.•We propose a Retinex model-based weakly illuminated image synthesis approach.•The…”
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Deep-ECG: Convolutional Neural Networks for ECG biometric recognition by Donida Labati, Ruggero, Muñoz, Enrique, Piuri, Vincenzo, Sassi, Roberto, Scotti, Fabio

“…•Deep-ECG performs identification and verification with remarkable accuracy.•Deep-ECG is the first approach that uses deep CNNs for ECG biometrics.•Deep-ECG…”
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