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A New Approach for Automatic Segmentation and Evaluation of Pigmentation Lesion by using Active Contour Model and Speeded Up Robust Features
Sara Mardanisamani, Zahra Karimi, Akram Jamshidzadeh, Mehran Yazdi, Melika Farshad, Amirmehdi Farshad
An attention model to analyse the risk of agitation and urinary tract infections in people with dementia
Honglin Li, Roonak Rezvani, Magdalena Anita Kolanko, David J. Sharp, Maitreyee Wairagkar, Ravi Vaidyanathan, Ramin Nilforooshan, Payam Barnaghi
Yizhen Xu, Joseph W. Hogan, Michael J. Daniels, Rami Kantor, Ann Mwangi
SeqCor: correct the effect of guide RNA sequences in clustered regularly interspaced short palindromic repeats/Cas9 screening by machine learning algorithm.
In Journal of genetics and genomics = Yi chuan xue bao
Liu Xiaojian, Yang Yuanyuan, Qiu Yan, Reyad-Ul-Ferdous Md, Ding Qiurong, Wang Yi
CRISPR/Cas9-based screening, Machine learning, SeqCor
Prediction of lamb carcase C-site fat depth and GR tissue depth using a non-invasive portable microwave system.
In Meat science
Marimuthu J, Loudon K M W, Gardner G E
Accuracy, Ensemble, Machine leaning, Meat quality, Objective measurement, Precision
Artificial Intelligence-Powered Measurement of Left Ventricular Ejection Fraction Using a Handheld Ultrasound Device.
In Ultrasound in medicine & biology ; h5-index 42.0
Filipiak-Strzecka Dominika, Kasprzak Jarosław D, Wejner-Mik Paulina, Szymczyk Ewa, Wdowiak-Okrojek Katarzyna, Lipiec Piotr
Automated echocardiographic assessment, Handheld ultrasound devices, Left ventricular ejection fraction