Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus

ConclusionSampling and MIE can be effective techniques to improve the generalizability of CNNs for paranasal anomaly classification. We demonstrate the feasibility of classifying anomalies in the MS. We propose a data enlarging strategy through sampling alongside a novel MIE strategy that proves to be beneficial for paranasal anomaly classification in the MS.

http://link.springer.com/10.1007/s11548-023-02990-3

Source: International Journal of Computer Assisted Radiology and Surgery - July 21, 2023 Category: Intensive Care Source Type: research