Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames.

ABSTRACT: Recent developments of deep learning methods have demonstrated their feasibility in liver malignancy diagnosis using ultrasound (US) images. However, most of these methods require manual selection and annotation of US images by radiologists, which limit their practical application. On the other hand, US videos provide more comprehensive morphological information about liver masses and their relationships with surrounding structures than US images, potentially leading to a more accurate diagnosis. Here, we developed a fully automated artificial intelligence (AI) pipeline to imitate the workflow of radiologists for detecting liver masses and diagnosing liver malignancy. In this pipeline, we designed an automated mass-guided strategy that used segmentation information to direct diagnostic mod

SUBMITTER: Xu Y 

PROVIDER: S-EPMC10390801 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature