One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients - UTU Tutkimustietojärjestelmä

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One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients

Tekijät: Rainio, Oona; Liedes, Joonas; Murtojärvi, Sarita; Malaspina, Simona; Kemppainen, Jukka; Klén, Riku

Kustantaja: SPRINGER

Kustannuspaikka: Vienna

Julkaisuvuosi: 2024

Journal: Network Modeling Analysis in Health Informatics and Bioinformatics

Tietokannassa oleva lehden nimi: NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS

Lehden akronyymi: NETW MODEL ANAL HLTH

Artikkelin numero: 47

Vuosikerta: 13

Numero: 1

Sivujen määrä: 8

ISSN: 2192-6662

eISSN: 2192-6670

DOI: https://doi.org/10.1007/s13721-024-00483-0

Verkko-osoite: https://doi.org/10.1007/s13721-024-00483-0

Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/457784672

Tiivistelmä

A convolutional neural network (CNN) can be used to perform fully automatic tumor segmentation from the positron emission tomography (PET) images of head and neck cancer patients but the predictions often contain false positive segmentation caused by the high concentration of the tracer substance in the human brain. A potential solution would be a one-click annotation in which a user points the location of the tumor by clicking the image. This information can then be given either directly to a CNN or an algorithm that fixes its predictions. In this article, we compare the fully automatic segmentation to four semi-automatic approaches by using 962 transaxial slices collected from the PET images of 100 head and neck cancer patients. According to our results, a semi-automatic segmentation method with information about the center of the tumor performs the best with a median Dice score of 0.708.

Ladattava julkaisu

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s13721-024-00483-0.pdf

Julkaisussa olevat rahoitustiedot:
Open Access funding provided by University of Turku (including Turku University Central Hospital). The first author was financially supported by the Finnish Culture Foundation.