M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision

Automated medical image segmentation using deep neural networks typically requires substantial supervised training. However, these models fail to generalize well across different imaging modalities. This shortcoming, amplified by the limited availability of expert annotated data, has been hampering...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Malo Alefsen de Boisredon d'Assier, Vorontsov, Eugene, Kadoury, Samuel
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Annotations Artificial neural networks Datasets Domains Image segmentation Medical imaging Training Tumors
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!