Výsledky vyhledávání - "Computer Methods and Programs in Biomedicine"

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022) Autor Loh, Hui Wen, Ooi, Chui Ping, Seoni, Silvia, Barua, Prabal Datta, Molinari, Filippo, Acharya, U Rajendra

“…•Examined studies that used the explainable artificial intelligence (XAI) technique for AI model in healthcare applications.•As a result, three major…”
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CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images Autor Khan, Asif Iqbal, Shah, Junaid Latief, Bhat, Mohammad Mudasir

“…•Classification of Normal, Pneumonia-bacterial, Pneumonia-viral and Covid-19 chest x-ray images.•Presented a deep convolutional neural network model based on…”
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Explanation of machine learning models using shapley additive explanation and application for real data in hospital Autor Nohara, Yasunobu, Matsumoto, Koutarou, Soejima, Hidehisa, Nakashima, Naoki

“…When using machine learning techniques in decision-making processes, the interpretability of the models is important. In the present paper, we adopted the…”
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TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Autor Pérez-García, Fernando, Sparks, Rachel, Ourselin, Sébastien

“…•Open-source Python library for preprocessing, augmentation and sampling of medical images for deep learning.•Support for 2D, 3D and 4D images such as X-ray,…”
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ChatGPT in healthcare: A taxonomy and systematic review Autor Li, Jianning, Dada, Amin, Puladi, Behrus, Kleesiek, Jens, Egger, Jan

“…The recent release of ChatGPT, a chat bot research project/product of natural language processing (NLP) by OpenAI, stirs up a sensation among both the general…”
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Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays Autor Brunese, Luca, Mercaldo, Francesco, Reginelli, Alfonso, Santone, Antonella

“…•We show how deep learning can be applied for COVID-19 detection from chest X-rays;•The proposed method is aimed to mark as first step a chest X-ray as related…”
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COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios Autor Pereira, Rodolfo M., Bertolini, Diego, Teixeira, Lucas O., Silla, Carlos N., Costa, Yandre M.G.

“…•COVID-19 identification in chest X-ray using multi-class and hierarchical learners.•Using a database that reflects a real world scenario with its natural…”
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ResNet and its application to medical image processing: Research progress and challenges Autor Xu, Wanni, Fu, You-Lei, Zhu, Dongmei

“…•Introduced the research status of ResNet in the medical field.•Explained the basic principles of residual neural networks.•Summarized the wide application of…”
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A transfer learning method with deep residual network for pediatric pneumonia diagnosis Autor Liang, Gaobo, Zheng, Lixin

“…•Proposed a residual structure with dilated convolution for the classification of pediatric pneumonia images.•Suggested an automated diagnostic algorithm for…”
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Deep learning for healthcare applications based on physiological signals: A review Autor Faust, Oliver, Hagiwara, Yuki, Hong, Tan Jen, Lih, Oh Shu, Acharya, U Rajendra

“…•Importance: In 2017 the number of publications on deep learning for physiological signal analysis increased significantly. Indeed, 2017 saw more papers…”
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The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things Autor Aminizadeh, Sarina, Heidari, Arash, Toumaj, Shiva, Darbandi, Mehdi, Navimipour, Nima Jafari, Rezaei, Mahsa, Talebi, Samira, Azad, Poupak, Unal, Mehmet

“…•Providing a comprehensive analysis of the most current innovations in medical data processing.•Proposing a systematic review of the available platforms for…”
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Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning Autor Aljuaid, Hanan, Alturki, Nazik, Alsubaie, Najah, Cavallaro, Lucia, Liotta, Antonio

“…•Breast Cancer Classification (CC) automatic diagnosis with DL.•Best average accuracy for binary CC (above 97%). Background and objective: Many developed and…”
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Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification Autor Al-masni, Mohammed A., Kim, Dong-Hyun, Kim, Tae-Seong

“…•An integrated two-stage diagnostic model for skin lesion boundary segmentation and multiple skin diseases classification is proposed.•Segmentation of skin…”
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DENSE-INception U-net for medical image segmentation Autor Zhang, Ziang, Wu, Chengdong, Coleman, Sonya, Kerr, Dermot

“…•A novel densely connection inception convolutional neural network based on U-Net architecture is proposed for medical image segmentation tasks.•The modified…”
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Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks Autor Moon, Woo Kyung, Lee, Yan-Wei, Ke, Hao-Hsiang, Lee, Su Hyun, Huang, Chiun-Sheng, Chang, Ruey-Feng

“…•A computer-aided diagnosis (CAD) system was proposed to diagnose breast cancer in ultrasound images.•In this study, we propose a CAD system for tumor…”
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NiftyNet: a deep-learning platform for medical imaging Autor Gibson, Eli, Li, Wenqi, Sudre, Carole, Fidon, Lucas, Shakir, Dzhoshkun I., Wang, Guotai, Eaton-Rosen, Zach, Gray, Robert, Doel, Tom, Hu, Yipeng, Whyntie, Tom, Nachev, Parashkev, Modat, Marc, Barratt, Dean C., Ourselin, Sébastien, Cardoso, M. Jorge, Vercauteren, Tom

“…•An open-source platform is implemented based on TensorFlow APIs for deep learning in medical imaging domain.•A modular implementation of the typical medical…”
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Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification Autor Mahbod, Amirreza, Schaefer, Gerald, Wang, Chunliang, Dorffner, Georg, Ecker, Rupert, Ellinger, Isabella

“…•Investigating the effect of image downsampling and cropping on skin lesion classification performance.•Proposing a three-level fusion approach using multiple…”
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Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics Autor Moccia, Sara, De Momi, Elena, El Hadji, Sara, Mattos, Leonardo S.

“…•An in-depth analysis of the most recent vessel segmentation approaches is given.•A list of publicly available databases for algorithm testing is reported…”
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Application of artificial intelligence in wearable devices: Opportunities and challenges Autor Nahavandi, Darius, Alizadehsani, Roohallah, Khosravi, Abbas, Acharya, U Rajendra

“…: Wearable technologies have added completely new and fast emerging tools to the popular field of personal gadgets. Aside from being fashionable and equipped…”
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Automated EEG-based screening of depression using deep convolutional neural network Autor Acharya, U. Rajendra, Oh, Shu Lih, Hagiwara, Yuki, Tan, Jen Hong, Adeli, Hojjat, Subha, D. P

“…•Classification of normal and depression using EEG signals.•Employed a 13-layer deep convolutional neural network model.•Minimum hand-crafted features required…”
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