Results 311 to 320 of about 9,237,965 (405)

Adherence to the Lamartina-Berjano Classification and Suggested Surgical Treatment Decreases the Rate of Postoperative Mechanical Failures in Adult Deformity Patients. A Retrospective Observational Study With a Minimum 10 Years Follow-Up. [PDF]

Global Spine J
Compagnone D, La Verde L, Redaelli A, Solano D, Langella F, Damilano M, Vanni D, Lamartina C, Berjano P, Cecchinato R.   +9 more
europepmc   +1 more source

An objective diagnosis of gout and calcium pyrophosphate deposition disease with machine learning of Raman spectra acquired in a point-of-care setting. [PDF]

Rheumatology (Oxford)
Niessink T, Jansen TL, Coumans FAW, Welting TJM, Janssen M, Otto C.   +5 more
europepmc   +1 more source

A Frequency-Shifting Variational Mode Decomposition-Based Approach to MI-EEG Signal Classification for BCIs. [PDF]

Sensors (Basel)
Xu H, Hassan SA, Haider W, Sun Y, Yu X.
europepmc   +1 more source

The Classification of Viruses [PDF]

Journal of General Microbiology, 1955
openaire   +3 more sources

A new method for Tomicus classification of forest pests based on improved ResNet50 algorithm. [PDF]

Sci Rep
Li C, Xu Q, Lu Y, Feng D, Chen P, Pu M, Hu J, Wang M.   +7 more
europepmc   +1 more source

Few-shot traffic classification based on autoencoder and deep graph convolutional networks. [PDF]

Sci Rep
Xu S, Han J, Liu Y, Liu H, Bai Y.
europepmc   +1 more source

Utilização da Classificação Internacional de Cuidados Primários (ICPC) e da Classificação do Conteúdo Nuclear de Clínica Geral (3CGP) para classificar resumos de congressos

Revista Portuguesa de Medicina Geral e Familiar, 2013
Marc Jamoulle
doaj   +1 more source

Robotic evaluation of articular laxity (REAL) classification: a new intraoperative knee soft-tissue laxity classification using ROSA robotic software. [PDF]

Eur J Orthop Surg Traumatol
Kenanidis E, Milonakis N, Maslaris A, Tsiridis E.   +3 more
europepmc   +1 more source

CLASSIFICATION OF LEPROSY

Leprosy Review, 1961
openaire   +4 more sources

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source