Back to search

Article

Predicting Lung Cancer Survival with Attention-based CT Slices Combination

2024-11-14

Abstract excerpt

<title>Abstract</title> <p>Accurate prognosis of Non-Small Cell Lung Cancer (NSCLC) is crucial for enhancing patient care and treatment outcomes. Despite the advancements in deep learning, the task of overall survival prediction in NSCLC has not fully leveraged these techniques, yet. This study introduces a novel methodology for predicting 2-year overall survival (OS) in NSCLC patients using CT scans. Our approac...

Topics

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

Identifiers and source

Literature Corpus work
1334e59c-a162-59cd-a9d8-a8001e79bbaf
DOI
10.21203/rs.3.rs-5374277/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.
Predicting Lung Cancer Survival with Attention-based CT Slices CombinationDOI 10.21203/rs.3.rs-5374277/v1
Select a neighboring publication to make it the new centre.