An expert system for the classification of serum protein electrophoresis patterns-Reference-Cited by-同舟云学术

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An expert system for the classification of serum protein electrophoresis patterns

Published:2008-01-01 Issue:10 Volume:46 Page:
ISSN:1437-4331
Container-title:Clinical Chemistry and Laboratory Medicine
language:
Short-container-title:

Author:

Altinier Sara,Sarti Lorenzo,Varagnolo Mariacristina,Zaninotto Martina,Maggini Marco,Plebani Mario

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry, medical,Clinical Biochemistry,General Medicine

Link

https://www.degruyter.com/document/doi/10.1515/CCLM.2008.284/pdf

Reference10 articles.

1. Advances in Serum Protein Electrophoresis

2. Autoassociative neural networks

3. Phoneme recognition using time-delay neural networks

4. Backpropagation Applied to Handwritten Zip Code Recognition

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1. Expert-level detection of M-proteins in serum protein electrophoresis using machine learning;Clinical Chemistry and Laboratory Medicine (CCLM);2024-06-17

2. Artificial intelligence in serum protein electrophoresis: history, state of the art, and perspective;Critical Reviews in Clinical Laboratory Sciences;2023-11

3. Expert-Level Immunofixation Electrophoresis Image Recognition based on Explainable and Generalizable Deep Learning;Clinical Chemistry;2022-12-21

4. Development and validation of a deep learning-based protein electrophoresis classification algorithm;PLOS ONE;2022-08-24

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