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Multiscale Content-Based Image Retrieval for Whole-Slide Histological Imagesстатья
- Авторы: Veshkin A.S., Khvostikov A.V.
- Журнал: Computational Mathematics and Modeling
- Том: 33
- Номер: 2
- Год издания: 2023
- Издательство: Consultants Bureau
- Местоположение издательства: United States
- Первая страница: 244
- Последняя страница: 254
- DOI: 10.1007/s10598-023-09569-2
- Аннотация: A new method if proposed for content-based image retrieval in whole-slide histological images. Given a fragment isolated on the query image, the method finds structurally similar fragments in a large set of images. Such methods are needed in medicine and may help diagnosticians in medical image analysis.The application of such methods to whole-slide histological images has its specifics due to the extremely high resolution of the images and their multiscale structure. These features have been taken into consideration during the development of the method.Keywords: content-based image retrieval, histological images, neural networks, digital pathology, wholeslide images.
- Добавил в систему: Хвостиков Александр Владимирович