Suchergebnisse - "Deep Learning Algorithm"

Identifying Schizophrenia Using Structural MRI With a Deep Learning Algorithm von Oh, Jihoon, Oh, Baek-Lok, Lee, Kyong-Uk, Chae, Jeong-Ho, Yun, Kyongsik

“… ) remains challenging. This study aimed to detect schizophrenia in structural MRI data sets using a trained deep learning algorithm …”
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Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies von Katsushika, Susumu, Kodera, Satoshi, Nakamoto, Mitsuhiko, Ninomiya, Kota, Kakuda, Nobutaka, Shinohara, Hiroki, Matsuoka, Ryo, Ieki, Hirotaka, Uehara, Masae, Higashikuni, Yasutomi, Nakanishi, Koki, Nakao, Tomoko, Takeda, Norifumi, Fujiu, Katsuhito, Daimon, Masao, Ando, Jiro, Akazawa, Hiroshi, Morita, Hiroyuki, Komuro, Issei

“… Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning algorithm to distinguish CS patients from healthy subjects using echocardiographic movies …”
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Two- Versus 8-Zone Lung Ultrasound in Heart Failure: Analysis of a Large Data Set Using a Deep Learning Algorithm von Baloescu, Cristiana, Chen, Alvin, Varasteh, Alexander, Toporek, Grzegorz, McNamara, Robert L, Raju, Balasundar, Moore, Chris

“… (right and left anterior/lateral and superior/inferior). A previously published deep learning algorithm that rates severity of B-lines on a 0-4 scale was adapted for use on hand-held ultrasound full video loops …”
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Towards ‘automated gonioscopy’: a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography von Porporato, Natalia, Tun, Tin A, Baskaran, Mani, Wong, Damon W K, Husain, Rahat, Fu, Huazhu, Sultana, Rehena, Perera, Shamira, Schmetterer, Leopold, Aung, Tin

“… An independent test set of 39 936 SS-OCT scans from 312 phakic subjects (128 SS-OCT meridional scans per eye) was analysed …”
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A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs von Thompson, Atalie C., Jammal, Alessandro A., Medeiros, Felipe A.

“… eyes of 490 subjects were randomly divided into the validation plus training (80%) and test sets (20%). A DL convolutional neural network was trained to predict the SDOCT BMO-MRW global and sector values when evaluating optic disc photographs …”
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Fully portable and wireless universal brain–machine interfaces enabled by flexible scalp electronics and deep learning algorithm von Mahmood, Musa, Mzurikwao, Deogratias, Kim, Yun-Soung, Lee, Yongkuk, Mishra, Saswat, Herbert, Robert, Duarte, Audrey, Ang, Chee Siang, Yeo, Woon-Hong

“… require training on a per-subject or per-session basis. Here, we introduce a fully portable, wireless, flexible scalp electronic system, incorporating a set of dry electrodes and a flexible membrane circuit …”
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Motor imagery EEG signal classification using novel deep learning algorithm von Mathiyazhagan, Sathish, Devasena, M. S. Geetha

“… However, these technologies face challenges and exhibit reduced performances due to signal noise, inter-subject variability, and real-time processing demands …”
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Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs von Jammal, Alessandro A., Thompson, Atalie C., Mariottoni, Eduardo B., Berchuck, Samuel I., Urata, Carla N., Estrela, Tais, Wakil, Susan M., Costa, Vital P., Medeiros, Felipe A.

“… Evaluation of a machine learning algorithm. An M2M DL algorithm trained with RNFL thickness parameters from spectral-domain optical coherence tomography was applied to a subset of 490 fundus photos of 490 eyes of 370 subjects graded by 2 …”
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A deep learning algorithm for detecting lytic bone lesions of multiple myeloma on CT von Faghani, Shahriar, Baffour, Francis I., Ringler, Michael D., Hamilton-Cave, Matthew, Rouzrokh, Pouria, Moassefi, Mana, Khosravi, Bardia, Erickson, Bradley J.

“… A functional deep learning) algorithm to detect lytic lesions on CTs could improve the value of these CTs for myeloma imaging …”
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ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses von Vu, Huong Thi Thu, Gomez, Felipe, Cherelle, Pierre, Lefeber, Dirk, Nowé, Ann, Vanderborght, Bram

“… We called this algorithm an exponentially delayed fully connected neural network (ED-FNN). A dataset was obtained from seven healthy subjects that performed daily walking activities …”
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Segmentation of Arm Ultrasound Images in Breast Cancer-Related Lymphedema: A Database and Deep Learning Algorithm von Goudarzi, Sobhan, Whyte, Jesse, Boily, Mathieu, Towers, Anna, Kilgour, Robert D., Rivaz, Hassan

“… Objective: Breast cancer treatment often causes the removal of or damage to lymph nodes of the patient's lymphatic drainage system. This side effect is the …”
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A deep learning algorithm proposal to automatic pharyngeal airway detection and segmentation on CBCT images von Sin, Çağla, Akkaya, Nurullah, Aksoy, Seçil, Orhan, Kaan, Öz, Ulaş

“… Setting and Sample Population Archives of the CBCT images were reviewed, and the data of 306 subjects with the pharyngeal airway were included in this retrospective study …”
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Standardized image-based polysomnography database and deep learning algorithm for sleep-stage classification von Jeong, Jaemin, Yoon, Wonhyuck, Lee, Jeong-Gun, Kim, Dongyoung, Woo, Yunhee, Kim, Dong-Kyu, Shin, Hyun-Woo

“… Abstract Study Objectives Polysomnography (PSG) scoring is labor-intensive, subjective, and often ambiguous. Recently several deep learning (DL) models for …”
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Optimal Facial Feature Based Emotional Recognition Using Deep Learning Algorithm von Kumar Arora, Tarun, Kumar Chaubey, Pavan, Shree Raman, Manju, Kumar, Bhupendra, Nagesh, Yagnam, Anjani, P. K., Ahmed, Hamed M. S., Hashmi, Arshad, Balamuralitharan, S., Debtera, Baru

“… Automatic emotion recognition has been the subject of numerous studies, most of which use a machine learning methodology …”
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Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm von Huo, Jiayan, Quan, Stuart F., Roveda, Janet, Li, Ao

“… In this study, we included 1,069 subjects’ full night ECG signals from unattended polysomnography in the Multi-Ethnic Study of Atherosclerosis dataset …”
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Prediction of stability coefficient of open-pit mine slope based on artificial intelligence deep learning algorithm von Wang, Shuai, Zhang, Zongbao, Wang, Chao

“… of the enterprise, the problem of slope stability has become increasingly obvious, which has become a major subject in the study of open-pit mine engineering …”
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Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification von Kwon, Joon Myoung, Kim, Kyung Hee, Jeon, Ki Hyun, Kim, Hyue Mee, Kim, Min Jeong, Lim, Sung Min, Song, Pil Sang, Park, Jinsik, Choi, Rak Kyeong, Oh, Byung Hee

“… )-based HF identification may be helpful. This study aimed to develop and validate a deep-learning algorithm for ECG-based HF identification (DEHF …”
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Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Intracranial Hemorrhage von Voter, Andrew F, Meram, Ece, Garrett, John W, Yu, John-Paul J

“… % female subjects, mean age of 61 ± 21 years). Each scan was evaluated for ICH by both a certificate of added qualification certified neuroradiologist and Aidoc …”
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Predicting the central 10 degrees visual field in glaucoma by applying a deep learning algorithm to optical coherence tomography images von Asano, Shotaro, Asaoka, Ryo, Murata, Hiroshi, Hashimoto, Yohei, Miki, Atsuya, Mori, Kazuhiko, Ikeda, Yoko, Kanamoto, Takashi, Yamagami, Junkichi, Inoue, Kenji

“… The training dataset included 558 eyes from 312 glaucoma patients and 90 eyes from 46 normal subjects …”
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A Multihead Attention Deep Learning Algorithm to Detect Amblyopia Using Fixation Eye Movements von Upadhyaya, Dipak P., Cakir, Gokce, Ramat, Stefano, Albert, Jeffrey, Shaikh, Aasef, Sahoo, Satya S., Ghasia, Fatema

“… To develop an attention-based deep learning (DL) model based on eye movements acquired during a simple visual fixation task to detect amblyopic subjects across different types and severity from controls …”
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