Search Results - "Deep learning algorithm"

DGM: A deep learning algorithm for solving partial differential equations by Sirignano, Justin, Spiliopoulos, Konstantinos

“… The deep learning algorithm approximates the general solution…”
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Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video) by de Groof, Albert J., Struyvenberg, Maarten R., Fockens, Kiki N., van der Putten, Joost, van der Sommen, Fons, Boers, Tim G., Zinger, Sveta, Bisschops, Raf, de With, Peter H., Pouw, Roos E., Curvers, Wouter L., Schoon, Erik J., Bergman, Jacques J.G. H.M.

“…We assessed the preliminary diagnostic accuracy of a recently developed computer-aided detection (CAD) system for detection of Barrett’s neoplasia during live…”
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A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19) by Wang, Shuai, Kang, Bo, Ma, Jinlu, Zeng, Xianjun, Xiao, Mingming, Guo, Jia, Cai, Mengjiao, Yang, Jingyi, Li, Yaodong, Meng, Xiangfei, Xu, Bo

“…Objective The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) has caused more than 26 million cases of Corona virus disease (COVID-19)…”
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A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories by Placido, Davide, Yuan, Bo, Hjaltelin, Jessica X., Zheng, Chunlei, Haue, Amalie D., Chmura, Piotr J., Yuan, Chen, Kim, Jihye, Umeton, Renato, Antell, Gregory, Chowdhury, Alexander, Franz, Alexandra, Brais, Lauren, Andrews, Elizabeth, Marks, Debora S., Regev, Aviv, Ayandeh, Siamack, Brophy, Mary T., Do, Nhan V., Kraft, Peter, Wolpin, Brian M., Rosenthal, Michael H., Fillmore, Nathanael R., Brunak, Søren, Sander, Chris

“…Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes, indicating a pronounced need for early detection. In this study, we…”
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Printed, Wireless, Soft Bioelectronics and Deep Learning Algorithm for Smart Human-Machine Interfaces by Kwon, Young-Tae, Kim, Hojoong, Mahmood, Musa, Kim, Yun-Soung, Demolder, Carl, Yeo, Woon-Hong

“…Recent advances in flexible materials and wearable electronics offer a noninvasive, high-fidelity recording of biopotentials for portable healthcare, disease…”
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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm by Han, Seung Seog, Kim, Myoung Shin, Lim, Woohyung, Park, Gyeong Hun, Park, Ilwoo, Chang, Sung Eun

“…We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis…”
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Tomato crop disease classification using pre-trained deep learning algorithm by Rangarajan, Aravind Krishnaswamy, Purushothaman, Raja, Ramesh, Aniirudh

“…The wide scale prevalence of diseases in tomato crop affects the production quality and quantity. In order to counteract the problem early diagnosis of…”
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From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs by Medeiros, Felipe A, Jammal, Alessandro A, Thompson, Atalie C

“…Previous approaches using deep learning (DL) algorithms to classify glaucomatous damage on fundus photographs have been limited by the requirement for human…”
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Deep learning algorithm by Sears, Connie, Tandias, Rachel, Arroyo, Jorge

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A deep learning algorithm for detecting acute myocardial infarction by Liu, Wen-Cheng, Lin, Chin-Sheng, Tsai, Chien-Sung, Tsao, Tien-Ping, Cheng, Cheng-Chung, Liou, Jun-Ting, Lin, Wei-Shiang, Cheng, Shu-Meng, Lou, Yu-Sheng, Lee, Chia-Cheng, Lin, Chin

“…Delayed diagnosis or misdiagnosis of acute myocardial infarction (AMI) is not unusual in daily practice. Since a 12-lead electrocardiogram (ECG) is crucial for…”
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Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy by Sayres, Rory, Taly, Ankur, Rahimy, Ehsan, Blumer, Katy, Coz, David, Hammel, Naama, Krause, Jonathan, Narayanaswamy, Arunachalam, Rastegar, Zahra, Wu, Derek, Xu, Shawn, Barb, Scott, Joseph, Anthony, Shumski, Michael, Smith, Jesse, Sood, Arjun B, Corrado, Greg S, Peng, Lily, Webster, Dale R

“…To understand the impact of deep learning diabetic retinopathy (DR) algorithms on physician readers in computer-assisted settings. Evaluation of diagnostic…”
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Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD by Dhingra, Lovedeep S, Aminorroaya, Arya, Sangha, Veer, Pedroso, Aline F, Shankar, Sumukh Vasisht, Coppi, Andreas, Foppa, Murilo, Brant, Luisa C C, Barreto, Sandhi M, Ribeiro, Antonio Luiz P, Krumholz, Harlan M, Oikonomou, Evangelos K, Khera, Rohan

“…Identifying structural heart diseases (SHDs) early can change the course of the disease, but their diagnosis requires cardiac imaging, which is limited in…”
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Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm by Jeyaraj, Pandia Rajan, Samuel Nadar, Edward Rajan

“…Purpose Oral cancer is a complex wide spread cancer, which has high severity. Using advanced technology and deep learning algorithm early detection and classification are made possible…”
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Data-driven vector soliton solutions of coupled nonlinear Schrödinger equation using a deep learning algorithm by Mo, Yifan, Ling, Liming, Zeng, Delu

“… In this work, we explore a deep learning algorithm for vector solitons of the coupled nonlinear Schrödinger equation (CNLSE…”
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Hyperspectral technique combined with deep learning algorithm for detection of compound heavy metals in lettuce by Zhou, Xin, Sun, Jun, Tian, Yan, Lu, Bing, Hang, Yingying, Chen, Quansheng

“…•Vis-NIR HSI was used to detect compound heavy metals content in lettuce leaves.•WT-SCAE is proposed to obtain the deep spectral features.•Deep learning has a…”
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High Throughput Blood Analysis Based on Deep Learning Algorithm and Self‐Positioning Super‐Hydrophobic SERS Platform for Non‐Invasive Multi‐Disease Screening by Lin, Xueliang, Lin, Duo, Chen, Yang, Lin, Jincheng, Weng, Shuyun, Song, Jibin, Feng, Shangyuan

“…Blood analysis is crucial for early cancer screening and improving patient survival rates. However, developing an effective strategy for early cancer detection…”
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Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India by Gulshan, Varun, Rajan, Renu P, Widner, Kasumi, Wu, Derek, Wubbels, Peter, Rhodes, Tyler, Whitehouse, Kira, Coram, Marc, Corrado, Greg, Ramasamy, Kim, Raman, Rajiv, Peng, Lily, Webster, Dale R

“…More than 60 million people in India have diabetes and are at risk for diabetic retinopathy (DR), a vision-threatening disease. Automated interpretation of…”
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Automated detection and classification of the proximal humerus fracture by using deep learning algorithm by Chung, Seok Won, Han, Seung Seog, Lee, Ji Whan, Oh, Kyung-Soo, Kim, Na Ra, Yoon, Jong Pil, Kim, Joon Yub, Moon, Sung Hoon, Kwon, Jieun, Lee, Hyo-Jin, Noh, Young-Min, Kim, Youngjun

“… (a deep learning algorithm) to detect and classify proximal humerus fractures using plain anteroposterior shoulder radiographs…”
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Detection of concealed cracks from ground penetrating radar images based on deep learning algorithm by Li, Shuwei, Gu, Xingyu, Xu, Xiangrong, Xu, Dawei, Zhang, Tianjie, Liu, Zhen, Dong, Qiao

“…•A new method for detection of concealed cracks in asphalt pavement using the 3-D ground penetrating radar (GPR) and deep learning model You Only Look Once…”
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"Human vs Machine" Validation of a Deep Learning Algorithm for Pediatric Middle Ear Infection Diagnosis by Crowson, Matthew G, Bates, David W, Suresh, Krish, Cohen, Michael S, Hartnick, Christopher J

“…We compared the diagnostic performance of human clinicians with that of a neural network algorithm developed using a library of tympanic membrane images…”
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