Analysis method for small breast cancer based on multi-mode MRI imaging omics

The invention discloses a method for analyzing small breast cancer based on multi-modal MRI imaging omics, and relates to the technical field of small breast cancer analysis methods.The method comprises the following steps that S1, image collection and acquisition are conducted, specifically, a high-resolution MRI device special for mammary gland is adopted, and multi-modal MRI scanning is conducted on a patient; s2, image preprocessing and region-of-interest segmentation: importing each modal image of MRI into deep learning software in a DICOM format for processing and analysis, and using a deep learning algorithm to automatically position a focus and perform accurate segmentation; multi-mode MRI scanning including T1WI, T2WI, DCE-MRI, DWI and the like is adopted, deep observation and analysis can be carried out on breast cancer from multiple angles and layers, diagnosis accuracy is improved, a focus is automatically positioned by using a convolutional neural network algorithm and accurate segmentation is ca