An attention-based neural network model for automatic partition of abdominal lymph nodes in CT imaging.

ABSTRACT:

Background

Abdominal lymph node partition is highly relevant to colorectal cancer (CRC) metastasis, which may further affect patient prognosis and survival quality. In the traditional diagnostic process, medical radiologists must partition all lymph nodes from the computed tomography (CT) images for further diagnostics. The manual interpretation of abdominal nodes is experience-dependent and time-consuming, especially for node partition. Therefore, automated partition methods are desirable to make the diagnostic process more accessible. Automatic abdominal lymph node partition is a challenging task due to the subtle morphological features of the nodes and the complex relative position information of the abdominal structure.

Methods

In this paper, a node-oriented dataset cont

SUBMITTER: Wang J 

PROVIDER: S-EPMC10498212 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature