Towards Explainable Decision-making Strategies of Deep Convolutional Neural Networks : An exploration into explainable AI and potential applications within cancer detection

Towards Explainable Decision-making Strategies of Deep Convolutional Neural Networks : An exploration into explainable AI and potential applications within cancer detection

The influence of Artificial Intelligence (AI) on society is increasing, with applications in highly sensitive and complicated areas. Examples include using Deep Convolutional Neural Networks within healthcare for diagnosing cancer. However, the inner workings of such models are often unknown, limiti...

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Bibliographic Details
Main Author: Hammarström, Tobias
Format: Others
Language:English
Published: Uppsala universitet, Avdelningen för visuell information och interaktion 2020
Subjects:
AI
artificial intelligence
explainable artificial intelligence
convolutional neural networks
deep convolutional neural networks
XAI
explainable AI
Other Computer and Information Science
Annan data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-424779

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-424779

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