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Challenges in Explaining Brain Tumor Detection

Published: 11 July 2023 Publication History

Abstract

Explanations for AI are a crucial part of autonomous systems: they increase user’s confidence, provide an interpretation of an otherwise black-box system, and can serve as an interface between the user and the AI system. Explanations are to become mandatory for all AI systems influencing people (see, for example, the upcoming EU AI Act). While so far explanations of image classifiers focused on explaining images of objects, such as ImageNet, there is an important area of application for them, namely, healthcare. In this paper we focus on a particular area of healthcare: the use of CNN machine-learning models for cancer detection in MRI brain images. We compare a number of explanation techniques and analyse whether they provide helpful and adequate explanations. We argue that the requirements from explanations in healthcare are different from those for generic images, and that existing explanations techniques fall short in the healthcare domain.

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  • (2023)Convolutional Neural Network Application for Detection & Classification of Brain Tumour2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)10.1109/UPCON59197.2023.10434371(1482-1486)Online publication date: 1-Dec-2023

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        TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems
        July 2023
        426 pages
        ISBN:9798400707346
        DOI:10.1145/3597512
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        Published: 11 July 2023

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        1. MRI Image classification Explanations.

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        • (2023)Convolutional Neural Network Application for Detection & Classification of Brain Tumour2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)10.1109/UPCON59197.2023.10434371(1482-1486)Online publication date: 1-Dec-2023

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