Method and system for calculating parameters in larynx image with artificial intelligence assistance

A method for calculating parameters in a larynx image with an artificial intelligence assistance, comprising:

• training a deep learning object detection software by a plurality of larynx images with a manually marked glottis image region to extract a glottis image from a larynx image received and training a deep learning image recognition and segmentation software by a plurality of glottis images with a manually marked membranous glottal gap to recognize a membranous glottal gap in a glottis image received;
• the membranous glottal gap includes structural features of a left vocal process, a right vocal process, and an anterior commissure;
• receiving a larynx image, a plurality of larynx images captured frame-by-frame, or a larynx video that is captured when vocal folds are in a phonating state;
• extracting at least one glottis image from the larynx image, the plurality of larynx images, or the larynx video by the deep learning object detection software;
• recognizing a membranous glottal gap in the at least one glottis image by the deep learning image recognition and segmentation software and outputting at least one membranous glottal gap filter corresponding to the at least one glottis image by the deep learning image recognition and segmentation software;
• and
• performing image processing of edge detection and image inpainting on the at least one membranous glottal gap filter to clearly outline a membranous glottal gap in the at least one membranous glottal gap filter and obtaining a medical parameter of a plurality of vocal fold anatomies from the clearly outlined membranous glottal gap in the at least one membranous glottal gap filter;
• wherein during recognizing the membranous glottal gap in the at least one glottis image, the at least one glottis image is compressed to the at least one glottis image in small size at first;
• then the deep learning image recognition and segmentation software recognizes the membranous glottal gap in the at least one glottis image in small size and outputs the at least one membranous glottal gap filter in small size corresponding to the at least one glottis image in small size;
• the at least one membranous glottal gap filter in small size is restored to the at least one membranous glottal gap filter in original size to be output for subsequently performing image processing of edge detection and image inpainting.