Back to search

Article

Developments in Deep Learning Artificial Neural Networks Techniques for Medical Image Analysis and Interpretation

2025-04-07

Abstract excerpt

Deep learning has revolutionized medical image analysis, offering the possibility of automated, efficient, and highly accurate diagnostic solutions. This article explores recent developments in deep learning techniques applied to medical imaging, including Convolutional Neural Networks (CNNs) for classification and segmentation, Recurrent Neural Networks (RNNs) for temporal analysis, Autoencoders for feature extra...

Topics

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

Identifiers and source

Literature Corpus work
d5658cde-a96d-5681-b1aa-fed44c5f3915
DOI
10.20944/preprints202504.0449.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.
Developments in Deep Learning Artificial Neural Networks Techniques for Medical Image Analysis and InterpretationDOI 10.20944/preprints202504.0449.v1
Select a neighboring publication to make it the new centre.