Results 101 to 110 of about 12,024,582 (300)
Canadian Journal of Infectious Diseases and Medical Microbiology, 1998 Wiseman, Marni C +2 more
openaire +3 more sources
RADIOACTIVE IODINE AS AN INDICATOR IN THYROID PHYSIOLOGY. V. THE USE OF RADIOACTIVE IODINE IN THE DIFFERENTIAL DIAGNOSIS OF TWO TYPES OF GRAVES' DISEASE 12 [PDF]
, 1942 S. Hertz, A Roberts
openalex +1 more source
2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure.
European Heart Journal, 2021 T. McDonagh +30 more
semanticscholar +1 more source
A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis [PDF]
arXivThe current clinical diagnosis framework of Alzheimer's disease (AD) involves multiple modalities acquired from multiple diagnosis stages, each with distinct usage and cost. Previous AD diagnosis research has predominantly focused on how to directly fuse multiple modalities for an end-to-end one-stage diagnosis, which practically requires a high cost ...
arxiv
ADHD diagnosis based on action characteristics recorded in videos using machine learning [PDF]
Demand for ADHD diagnosis and treatment is increasing significantly and the existing services are unable to meet the demand in a timely manner. In this work, we introduce a novel action recognition method for ADHD diagnosis by identifying and analysing raw video recordings. Our main contributions include 1) designing and implementing a test focusing on
arxiv +1 more source
ON THE BACTERIOLOGIC EXAMINATION OF THE STOOLS IN TYPHOID FEVER, AND ITS VALUE IN DIAGNOSIS. [PDF]
, 1897 Mark W. Richardson
openalex +1 more source
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging [PDF]
arXiv, 2018 Cardiac magnetic resonance (CMR) is used extensively in the diagnosis and management of cardiovascular disease. Deep learning methods have proven to deliver segmentation results comparable to human experts in CMR imaging, but there have been no convincing results for the problem of end-to-end segmentation and diagnosis from CMR.
arxiv