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...

詳細記述

書誌詳細

出版年:	Sensors
主要な著者:	Marin Benčević, Yuming Qiu, Irena Galić, Aleksandra Pižurica
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-01-01
主題:	biomedical images convolutional neural networks medical image segmentation semantic segmentation
オンライン･アクセス:	https://www.mdpi.com/1424-8220/23/2/633