Breast tumor segmenting method and device based on multistage converting network

Abstract

The invention discloses a breast tumor segmenting method based on a multistage converting network, and relates to the technical field of medical image treatment. The breast tumor segmenting method comprises the following steps of firstly, enabling experts to classify tumor ultrasound images according to the size of tumors, performing repeated training according to classification results, and constructing a volume assessment network; then studying the characteristics of large tumors, performing amplifying treatment on small tumor ultrasound images to generate high-quality large tumor images, and constructing an image converting network; and finally, performing segmenting training on the large tumor ultrasound images and amplified small tumor ultrasound images, and after segmenting is completed, zooming the small tumor ultrasound images according to the same ratio, so as to complete the construction of whole-convolution neural network. According to the breast tumor segmenting method disclosed by the invention, segmenting can be performed according to the size of tumors in the tumor ultrasound images, and the segmenting precision and the segmenting efficiency of the small tumors can be especially improved. The invention also provides a breast tumor segmenting device based on a multistage converting network. The breast tumor segmenting device is combined with the breast tumor segmenting method, so that the segmenting of the small tumor ultrasound images is better completed.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a tumor segmentation method and device based on a multi-level transformation network. Background technique [0002] For women, breast cancer has become the number one killer of women. Breast cancer is one of the diseases with high morbidity and mortality. trend. Studies have shown that cancer can be cured if it is detected early and in time, and the cure rate is as high as 92%. It can be seen that early detection of breast tumors plays a vital role in curing patients, and early detection and early treatment are the key to improving treatment efficiency. [0003] Medical imaging has become the main way to assist in clinical diagnosis of diseases. Compared with other images such as mammography and nuclear magnetic resonance, ultrasound has the advantages of less radiation, low price, and sensitivity to dense tissue detection. Therefore, ultrasound images have b...

AI Technical Summary

Problems solved by technology

However, tumors vary in shape. Although the existing methods can achieve better results, they still cannot achieve satisfactory results for some small tumors.

Aiming at the problem that traditional methods are difficult to effectively segment small tumors, the present invention proposes a breast tumor segmentation method and device based on a multi-level transform network

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