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                             16 results found
no title author magazine year volume issue page(s) type
1 A hybrid U-Net model with attention and advanced convolutional learning modules for simultaneous gland segmentation and cancer grade prediction in colorectal histopathological images Dabass, Manju

7 C p.
article
2 Artificial intelligence viewed through the lens of state regulation TerKonda, Sarvam P.

7 C p.
article
3 Assessment of patient perceptions of technology and the use of machine-based learning in a clinical encounter Bett, Ean S.

7 C p.
article
4 Clinical applications of artificial intelligence and machine learning in the modern cardiac intensive care unit Jentzer, Jacob C.

7 C p.
article
5 Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning Afshin-Pour, Babak

7 C p.
article
6 Equivalence of pathologists' and rule-based parser's annotations of Dutch pathology reports Burger, Gerard TN.

7 C p.
article
7 Machine learning algorithms for classifying corneas by Zernike descriptors del Río, María S.

7 C p.
article
8 Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset Mohi Uddin, Khandaker Mohammad

7 C p.
article
9 Machine learning's performance in classifying postmenopausal osteoporosis Thai patients Thawnashom, Kittisak

7 C p.
article
10 Model utility of a deep learning-based segmentation is not Dice coefficient dependent: A case study in volumetric brain blood vessel segmentation Alidoost, Mohammadali

7 C p.
article
11 Novel integration of governmental data sources using machine learning to identify super-utilization among U.S. counties Ricket, Iben M.

7 C p.
article
12 Predicting health-related quality of life change using natural language processing in thyroid cancer Lian, Ruixue

7 C p.
article
13 Prediction of Alzheimer's disease from magnetic resonance imaging using a convolutional neural network de Silva, Kevin

7 C p.
article
14 Stratification of keratoconus progression using unsupervised machine learning analysis of tomographical parameters Cao, Ke

7 C p.
article
15 Using machine learning and clinical registry data to uncover variation in clinical decision making James, Charlotte

7 C p.
article
16 Validation in the age of machine learning: A framework for describing validation with examples in transcranial magnetic stimulation and deep brain stimulation Baxter, John S.H.

7 C p.
article
                             16 results found
 
 Koninklijke Bibliotheek - National Library of the Netherlands