基于深度学习的胃癌病理切片图像分割算法研究

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基于深度学习的胃癌病理切片图像分割算法研究-知知文库网
基于深度学习的胃癌病理切片图像分割算法研究
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北京理工大学珠海学院2020届本科生毕业论文Research on Image Segmentation Algorithm of Gastric CancerPathological Slices Based on Deep LearningAbstractBased on the analysis and application of deep learning in medical image recognition at homeand abroad,this paper conducts a detailed study on the segmentation of cancer pathologicalslices,and proposes an automatic segmentation method ofgastric cancer pathological slicesbased on convolutional neural networks.This method is based on a full convolutional neu-ral network and incorporates a pyramid pooling module.The pyramid pooling model caneffectively improve the receptive field of the network,and it can better adapt to segmentedobjects of different sizes.And achieved a good segmentation effect.The experimental re-sults show that the average accuracy rate reaches 89%and MIoU reaches 65%.This methodhas been greatly improved compared with the traditional methods in the past.Keywords:Deep Learning Pyramid Pooling Model Medical Image Segmentation Gas-tric Cancer Pathological Section
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