基于gpu的生物医学图像处理

2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH) Pub Date : 2018-04-18 DOI:10.1109/MEMSTECH.2018.8365710

O. Berezsky, O. Pitsun, L. Dubchak, Petro Liashchynskyi, Pavlo Liashchynskyi

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引用次数: 3

摘要

在本研究中，作者开发了一种自适应图像预处理方法和算法，并开发了卷积神经网络模型用于细胞学和组织学图像分类。计算机实验采用CUDA技术在中央处理器和图形处理器的基础上进行。使用乳腺癌前病变和癌性病变的组织学和细胞学图像来测试预处理和分类算法。

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GPU-based biomedical image processing

In this research study, the authors developed an adaptive method and algorithm for image pre-processing and models of convolutional neural networks for cytological and histological image classification. The computer experiments were conducted on the basis of central and graphics processors using CUDA technology. Histological and cytological images of breast precancerous and cancerous conditions were used to test pre-processing and classification algorithms.

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2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)

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