Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Murray H. Loew"'
Publikováno v:
IEEE Access, Vol 8, Pp 111626-111635 (2020)
A loss function has two crucial roles in training a conventional discriminant deep neural network (DNN): (i) it measures the goodness of classification and (ii) generates the gradients that drive the training of the network. In this paper, we approxi
Externí odkaz:
https://doaj.org/article/156340beb6de4632b54d56a97050df34
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 6, Iss 5, Pp 16-20 (2008)
An automated method for ?-emission spectrum calibration and deconvolution is presented for spaceflight applications for a Cerium doped Lanthanum Chloride, (LaCl3(Ce)) ?-ray detector system. This detector will be coupled with a pulsed neutron generato
Externí odkaz:
https://doaj.org/article/279938357f6b4bc9b3d3d2dddcecda9e
Publikováno v:
Practical Radiation Oncology. 12:120-124
Previous studies have demonstrated that patients can be identified from 3-dimensional (3D) reconstructions of computed tomography (CT) or magnetic resonance imaging data of the brain or head and neck. This presents a privacy and security concern for
Autor:
Murray H, Loew
Publikováno v:
Journal of Medical Imaging. 9
Image processing has contributed greatly to the clinical applications of medical imaging. Many of the major developments have been stimulated by and reported at the Image Processing (IP) conference held annually as part of the SPIE Medical Imaging me
Publikováno v:
IEICE Transactions on Information and Systems. :776-780
Autor:
James Earls, Anishsanjay Nayak, Shawn Haji-Momenian, Bhumi Patel, Adam Michalak, Zixian Lin, Nicole Law, Murray H. Loew
Publikováno v:
Abdominal Radiology. 45:789-798
To predict the histologic grade of small clear cell renal cell carcinomas (ccRCCs) using texture analysis and machine learning algorithms. Fifty-two noncontrast (NC), 26 corticomedullary (CM) phase, and 35 nephrographic (NG) phase CTs of small (
Autor:
Ange Lou, Murray H. Loew
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Real-time semantic segmentation is playing a more important role in computer vision, due to the growing demand for mobile devices and autonomous driving. Therefore, it is very important to achieve a good trade-off among performance, model size and in
Segmenting medical images accurately and reliably is important for disease diagnosis and treatment. It is a challenging task because of the wide variety of objects' sizes, shapes, and scanning modalities. Recently, many convolutional neural networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b29a4b4e7cc0d7cfd82d8ef4d2125fa
http://arxiv.org/abs/2108.07368
http://arxiv.org/abs/2108.07368
Publikováno v:
2021 IEEE Data Science and Learning Workshop (DSLW).
Although deep neural networks (DNNs) achieve state-of-the-art performances in a wide range of machine learning (ML) applications, they are vulnerable: when small intentional perturbations are added to inputs, the network would misclassify them with h
Publikováno v:
Stereotactic and Functional Neurosurgery. 97:313-318
Background: Brain stimulation is utilized to treat a variety of neurological disorders. Clinical brain stimulation technologies currently utilize charge-balanced pulse stimulation. The brain may better respond to other stimulation waveforms. This stu