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001-es BibID:	BIBFORM122567
Első szerző:	Bogacsovics Gergő (informatikus)
Cím:	Developing diverse ensemble architectures for automatic brain tumor classification / Gergo Bogacsovics, Balazs Harangi, Andras Hajdu
Dátum:	2024
ISSN:	1380-7501 1573-7721
Megjegyzések:	Brain tumors pose a serious threat in our modern society, with a clear increase in global cases each year. Therefore, developing robust solutions that could automatically and reliably detect brain tumors in their early stages is of utmost importance. In our paper, we revisit the problem of building performant ensembles for clinical usage by maximizing the diversity of the member models during the training procedure. We present an improved, more robust, extended version of our framework and propose solutions that could be integrated into a Computer-Aided Diagnosis system to accurately classify some of the most common types of brain tumors: meningioma, glioma, and pituitary tumors. We show that the new framework based on the histogram loss can be seen as a natural extension of the former approach, as it also calculates the inner products of the latent vectors produced by each member to measure similarity, but at the sametime,it also makesitpossibletocapturemorecomplexpatterns.We also present several variants of our framework to incorporate member models with varying dimensional feature vectors and to cope with imbalanced datasets. We evaluate our solutions on a clinically tested dataset of 3,064 T1-weighted contrast-enhanced magnetic resonance images and show that they greatly outperform other state-of-the-art approaches and the base architectures as well, achieving over 92% accuracy, 92% macro andweightedprecision, 91% macro and 92% weighted F1 score, and over 90% macro and 92% weighted sensitivity.
Tárgyszavak:	idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Deep learning Brain tumor Ensemble learning Diversity Screening systems
Megjelenés:	Multimedia Tools and Applications. - (2024), p. 1-44. -
További szerzők:	Harangi Balázs (1986-) (programtervező matematikus) Hajdu András (1973-) (matematikus, informatikus)
Pályázati támogatás:	ÚNKP-23-3-II-DE-119 Egyéb TKP2021-NKTA-34 Egyéb
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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