Lung tumor automatic sketching method based on deep learning
A deep learning and tumor technology, which is applied in the field of medical image processing technology and deep learning, can solve the problems of low tumor delineation accuracy, inaccurate manual delineation, time-consuming and labor-intensive problems, so as to improve the safety process of surgery, reduce the workload and improve the delineation efficiency Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.
[0024] The described method for automatically delineating lung tumors based on deep learning specifically includes the following steps:
[0025] Step 1: Input the patient's lung image and perform preprocessing and image enhancement on the image;
[0026] Step 2: Obtain the window position and tumor size of the patient's lung tumor in the image, and crop the selected image to a fixed size according to the window position and size of the tumor in the image;
[0027] Step 3: Input the image processed in steps 1 and 2 into the trained V-Net model to predict the tumor;
[0028] Step 4: Deconvolute the predicted lung tumor to the size of the cropped image to get the true prediction of the organ;
[0029] Step 5: Extract the edge line of the real predicted lung tumor, which is the de...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com