Back to search

Article

Mutation based Atom Search Optimization Algorithm for Hyperparameter Optimization of the DenseNet121 Architecture for Cervical Cancer Classification

2021-03-17

Abstract excerpt

The cervical cancer patient’s death rate can be minimized by accurate and early detection of cervical cancer (CC). One of the popular techniques called the Pap test or Pap smear is widely used for the early detection of CC. The manual analysis consumed more time in the case of CC detection. The existing techniques met few shortcomings in terms of poor accuracy, more computational complexity, higher feature dimensi...

Topics

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

Identifiers and source

Literature Corpus work
ad3eff7d-8a24-59a6-b7d3-aaebd0e907a3
DOI
10.21203/rs.3.rs-302143/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.
Mutation based Atom Search Optimization Algorithm for Hyperparameter Optimization of the DenseNet121 Architecture for Cervical Cancer ClassificationDOI 10.21203/rs.3.rs-302143/v1
Select a neighboring publication to make it the new centre.