Back to search

Article

IntraDxNet: A Deep Learning System with Interpretable Rules for the Intraoperative Differential diagnosis of Bronchiolar Adenoma and Mucinous Adenocarcinoma

2026-02-19

Abstract excerpt

<title>Abstract</title> <p> Accurately and intraoperatively differentiating between bronchiolar adenoma (BA) and mucinous adenocarcinoma (MA) is critical for preventing overtreatment (e.g., unnecessary lobectomies) or undertreatment (inadequate resections). However, the overlapping histological features found in frozen sections are challenging even for experienced pathologists to address, leading to high diagnos...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1e63e822-14a8-5dba-bb62-85667a8481e2
DOI
10.21203/rs.3.rs-8541267/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
IntraDxNet: A Deep Learning System with Interpretable Rules for the Intraoperative Differential diagnosis of Bronchiolar Adenoma and Mucinous AdenocarcinomaDOI 10.21203/rs.3.rs-8541267/v1
Select a neighboring publication to make it the new centre.