Influence of training and expertise on deep neural network attention and human attention during a medical image classification task-Reference-Cited by-同舟云学术

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Influence of training and expertise on deep neural network attention and human attention during a medical image classification task

Published:2024-04-08 Issue:4 Volume:24 Page:6
ISSN:1534-7362
Container-title:Journal of Vision
language:en
Short-container-title:Journal of Vision

Author:

Vallée Rémi¹²,Gomez Tristan¹³,Bourreille Arnaud⁴⁵,Normand Nicolas¹⁶,Mouchère Harold¹⁷,Coutrot Antoine¹⁸⁹

Affiliation:

1. Nantes Université, Ecole Centrale Nantes, CNRS, LS2N, UMR 6004, Nantes, France

2. remi.vallee88@gmail.com

3. tristan.gomez@etu.univ-nantes.fr

4. CHU Nantes, Institut des Maladies de l’Appareil Digestif, CIC Inserm 1413, Université de Nantes, Nantes, France

5. arnaud.bourreille@chu-nantes.fr

6. nicolas.normand@univ-nantes.fr

7. harold.mouchere@univ-nantes.fr

8. Univ Lyon, CNRS, INSA Lyon, UCBL, LIRIS, UMR5205, Lyon, France

9. antoine.coutrot@cnrs.fr

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Reference62 articles.

1. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices;Abràmoff;NPJ Digital Medicine,,2018

2. Analyzing biological and artificial neural networks: Challenges with opportunities for synergy?;Barrett;Current Opinion in Neurobiology,,2019

3. Saliency prediction in the deep learning era: Successes and limitations;Borji;IEEE Transactions on Pattern Analysis and Machine Intelligence,,2021

4. State-of-the-art in visual attention modeling;Borji;IEEE Transactions on Pattern Analysis and Machine Intelligence,,2013

5. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task;Brinker;European Journal of Cancer,,2019

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