Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation?-Reference-Cited by-同舟云学术

Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation?

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Crespi Leonardo¹,Loiacono Daniele²,Sartori Pierandrea²

Affiliation:

1. Informazione e Bioingegneria, Politecnico di Milano,Dipartimento di Elettronica,Milan,Italy

2. Centre for Health Data Science, Human Technopole,Milan,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892850.pdf?arnumber=9892850

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3. Evaluation of multislice inputs to convolutional neural networks for medical image segmentation

4. The multimodal brain tumor image segmentation benchmark (brats);menze;IEEE Transactions on Medical Imaging,2014

5. Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features;bakas;Scientific Data,2017

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