Evaluation of how to apply deep learning in biomedical engineering

<p style="margin-left:0cm; margin-right:0cm; text-align:justify">Recent developments in image processing have contributed to the advancement of rapidly developing technological systems. Studies on image processing, especially in the health field, have increased its popularity. Despite the success achieved on existing m

Authors

Publication Details

Journal
Austrian Journal of Technical and Natural Sciences
Published
2025-03-30
DOI
https://doi.org/10.29013/ajt-25-1.2-3-9
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of how to apply deep learning in biomedical engineering

Nazrin Ismayilova
Austrian Journal of Technical and Natural Sciences
Biomedical and Engineering Education
article

Evaluation of how to apply deep learning in biomedical engineering

Nazrin Ismayilova
article en

Abstract

<p style="margin-left:0cm; margin-right:0cm; text-align:justify">Recent developments in image processing have contributed to the advancement of rapidly developing technological systems. Studies on image processing, especially in the health field, have increased its popularity. Despite the success achieved on existing m

Austrian Journal of Technical and Natural Sciences
Openalex Percentile: Top 94%
Biomedical and Engineering Education
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.