Artificial Intelligence and Device-Assisted Enteroscopy: Automatic detection of enteric protruding lesions using a convolutional neural network: Application do AI for …

P Cardoso, MM Saraiva, J Afonso… - Clinical and …, 2022 - journals.lww.com
METHODS: A deep learning algorithm based on a convolutional neural network (CNN) was
designed. Each frame was evaluated for the presence of enteric protruding lesions. The …

Artificial Intelligence and Device-Assisted Enteroscopy: Automatic Detection of Enteric Protruding Lesions Using a Convolutional Neural Network.

P Cardoso, MM Saraiva, J Afonso, T Ribeiro… - Clinical and …, 2022 - europepmc.org
Methods A deep learning algorithm based on a convolutional neural network was designed.
Each frame was evaluated for the presence of enteric protruding lesions. The area under the …

Artificial Intelligence and Device-Assisted Enteroscopy: Automatic Detection of Enteric Protruding Lesions Using a Convolutional Neural Network

P Cardoso, MM Saraiva, J Afonso… - Clinical and …, 2022 - pubmed.ncbi.nlm.nih.gov
Introduction Device-assisted enteroscopy (DAE) plays a major role in the investigation and
endoscopic treatment of small bowel diseases. Recently, the implementation of artificial …

[HTML][HTML] Artificial Intelligence and Device-Assisted Enteroscopy: Automatic Detection of Enteric Protruding Lesions Using a Convolutional Neural Network

P Cardoso, MM Saraiva, J Afonso… - Clinical and …, 2022 - ncbi.nlm.nih.gov
METHODS: A deep learning algorithm based on a convolutional neural network was
designed. Each frame was evaluated for the presence of enteric protruding lesions. The …

[HTML][HTML] Artificial Intelligence and Device-Assisted Enteroscopy: Automatic Detection of Enteric Protruding Lesions Using a Convolutional Neural Network

P Cardoso, MM Saraiva, J Afonso… - Clinical and …, 2022 - journals.lww.com
METHODS: A deep learning algorithm based on a convolutional neural network was
designed. Each frame was evaluated for the presence of enteric protruding lesions. The …