Back to search

Article

Is LPBSA the Future of Cancer Diagnosis? Exploring Machine Learning and Nature-Inspired Algorithms for Liver, Breast, and Lung Cancer Detection

2025-02-10

Abstract excerpt

<title>Abstract</title> <p>Cancer diseases are remaining a leading cause of death in all over the world, this is encouraging the development of advanced diagnostic systems for reliable and accurate detection. The current study investigates the models of traditional machine learning and nature-inspired algorithms for classifying liver, breast and lung cancer cases utilizing structured datasets. More focuses of thi...

Topics

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

Identifiers and source

Literature Corpus work
99864ba2-ae04-527e-bbb9-0cebb3bb72e0
DOI
10.21203/rs.3.rs-5818612/v2
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.
Is LPBSA the Future of Cancer Diagnosis? Exploring Machine Learning and Nature-Inspired Algorithms for Liver, Breast, and Lung Cancer DetectionDOI 10.21203/rs.3.rs-5818612/v2
Select a neighboring publication to make it the new centre.