Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images

Medical images are often of huge size, which presents a challenge in terms of memory requirements when training machine learning models. Commonly, the images are downsampled to overcome this challenge, but this leads to a loss of information. We present a general approach for training semantic segme...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Marin Benčević, Yuming Qiu, Irena Galić, Aleksandra Pižurica
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Subjects:	biomedical images convolutional neural networks medical image segmentation semantic segmentation
Online Access:	https://www.mdpi.com/1424-8220/23/2/633