Expert Model Prediction Through Feature Matching

Bishnu Paudel, Reyer Zwiggelaar, Otar Akanyeti*

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

Crynodeb

Supervised brain MRI segmentation performance relies on test sample alignment to the training domain. This is a function of various factors outside practical control such as imaging artefacts and demographics. One way of alleviating this risk in a automated segmentation pipeline is through a pre-segmentation domain alignment test. We explore a potential solution in the form of expert models created through clustering. We use the BraTS-2023 dataset to cluster into four groups reflecting medical consensus followed by baseline specialisation. We find that while the expert performance does not significantly outperform the baseline, the ensemble of these experts does. To scrutinise the results further we examine the performance on tumour growth segmentation of the various methods and find that the non-ensemble experts perform the best in this regard. Finally, we propose an independent performance indicator which may be used to inform aleatoric uncertainty estimation. Code available at: https://github.com/bip5/ExpertModels.

Iaith wreiddiolSaesneg
TeitlMedical Image Understanding and Analysis
Is-deitl28th Annual Conference, MIUA 2024, Manchester, UK, July 24–26, 2024, Proceedings, Part II
GolygyddionMoi Hoon Yap, Connah Kendrick, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar
CyhoeddwrSpringer Nature
Tudalennau256-269
Nifer y tudalennau14
ISBN (Electronig)978-3-031-66958-3
ISBN (Argraffiad)9783031669576
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2024
Digwyddiad28th Annual Conference on Medical Image Understanding and Analysis, MIUA 2024 - Manchester, Teyrnas Unedig Prydain Fawr a Gogledd Iwerddon
Hyd: 24 Gorff 202426 Gorff 2024

Cyfres gyhoeddiadau

EnwLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Cyfrol14860 LNCS
ISSN (Argraffiad)0302-9743
ISSN (Electronig)1611-3349

Cynhadledd

Cynhadledd28th Annual Conference on Medical Image Understanding and Analysis, MIUA 2024
Gwlad/TiriogaethTeyrnas Unedig Prydain Fawr a Gogledd Iwerddon
DinasManchester
Cyfnod24 Gorff 202426 Gorff 2024

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