Results 251 to 260 of about 86,091 (310)

The Rlign algorithm for enhanced electrocardiogram analysis through heart rate-corrected ECG alignment for explainable classification and clustering. [PDF]

Eur Heart J Digit Health
Plagwitz L, Bickmann L, Fujarski M, Brenner A, Gobalakrishnan W, Eckardt L, Büscher A, Varghese J.   +7 more
europepmc   +1 more source

Incorporating artificial intelligence into morphological diagnosis of acute leukemias: Current landscape, challenges and prospects (Review). [PDF]

Oncol Rep
Cheng H, Zheng G, Yang Y, Xu C, Tang G, Huang C.   +5 more
europepmc   +1 more source

Role of Artificial Intelligence and Machine Learning in Diagnosing Knee Lesions: Where Are We Now? [PDF]

Cureus
Velitsikakis PA, Altsitzioglou P, Serenidis D, Konstantas O, Koulouvaris P, Mastrokalos DS, Koulalis D.   +6 more
europepmc   +1 more source

Generative AI-Driven CNN Framework for Enhanced Lung Cancer Detection, Prediction, and Treatment: A Novel Approach to Overcoming AI Limitations. [PDF]

Int J Biomed Imaging
Bodicherla SS, Natarajasivan D, Reddy MP.   +2 more
europepmc   +1 more source

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Teaching CNN and learning by using CNN

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications, 2003
In this communication we remark our experience in teaching CNN technologies at the Universita degli Studi di Catania in the course of Adaptive Systems. The main result regards the possibility of using the CNN subject to introduce further topics in circuits and dynamical systems. The students reached high level skills in the related field. Moreover they
BUCOLO, MAIDE ANGELA RITA, FORTUNA, Luigi, ARENA, Paolo Pietro, Basile, A.   +3 more
openaire   +3 more sources

The CNN paradigm

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1993
A concise tutorial description of the cellular neural network (CNN) paradigm is given, along with a precise taxonomy. The CNN is defined, and the canonical equations are described. The importance of many independent input signal arrays, adaptive templates, and the multilayer capability is emphasized and motivated by examples.
Chua, Leon O., Roska, Tamás
openaire   +2 more sources