Exponential Pixelating Integral transform with dual fractal features for enhanced chest X-ray abnormality detection

Authors

Institutions

Publication Details

Journal
Computers in Biology and Medicine
Published
2024-09-03
DOI
https://doi.org/10.1016/j.compbiomed.2024.109093
Citations
3
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Exponential Pixelating Integral transform with dual fractal features for enhanced chest X-ray abnormality detection

M Kanimozhi, N. Kamalakannan, M. Sudhakar, Sri Ram Macharla
3 citations
Computers in Biology and Medicine
COVID-19 diagnosis using AI
1.21
article

Exponential Pixelating Integral transform with dual fractal features for enhanced chest X-ray abnormality detection

M Kanimozhi, N. Kamalakannan, M. Sudhakar, Sri Ram Macharla
article en
3 citations

Abstract

No abstract available for this paper.
Computers in Biology and MedicineVol. 182
Rolled-Ribbon (United States) (US), Sathyabama Institute of Science and Technology (IN), New York University (US), Vellore Institute of Technology University (IN)
Openalex Percentile: Top 20%
COVID-19 diagnosis using AI
1.21
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.