The invention discloses an 
automatic segmentation typing and thickness measuring method based on an endometrial 
ultrasound image, which comprises the following steps: 1) collecting an endometrial 
ultrasound scanning image set, manually selecting a standard 
uterus longitudinal 
cutting image, sketching an endometrial boundary, making a 
typing label, and establishing a training and testing sample set; 2) carrying out image preprocessing such as filtering on each image; removing 
noise influence and achieving an 
image enhancement effect; 3) respectively constructing a 
deep learning model for segmenting an endometrial region and 
typing, and respectively inputting a 
training set for training; 5) performing the same image preprocessing on the 
test set image, inputting the 
test set image into the trained 
deep learning model, and performing segmentation to obtain a segmented endometrial region and a typing result; 6) calculating the thickness of the 
endometrium by using a 
digital image morphological 
algorithm and a segmentation result of the 
endometrium ultrasonic image; by means of the method, the endometrial area can be accurately and effectively extracted, and more accurate thickness measurement and endometrial typing can be achieved.