ARAN-ASPP: efficient pulmonary emphysema disease classification framework using adaptive residual attention network with atrous spatial pyramid pooling network

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Medical Engineering and Informatics
Published
2025-01-01
DOI
https://doi.org/10.1504/ijmei.2025.10071131
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

ARAN-ASPP: efficient pulmonary emphysema disease classification framework using adaptive residual attention network with atrous spatial pyramid pooling network

Indira Linginani, A. Lakshmi Muddana
International Journal of Medical Engineering and Informatics
COVID-19 diagnosis using AI
article

ARAN-ASPP: efficient pulmonary emphysema disease classification framework using adaptive residual attention network with atrous spatial pyramid pooling network

Indira Linginani, A. Lakshmi Muddana
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Medical Engineering and InformaticsVol. 1(1)
Zero hunger
Openalex Percentile: Top 85%
COVID-19 diagnosis using AI
DOISourceOpenAlex
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ARAN-ASPP: efficient pulmonary emphysema disease classification framework using adaptive residual attention network with atrous spatial pyramid pooling network — Indira Linginani, A. Lakshmi Muddana · International Journal of Medical Engineering and Informatics (2025) | TGRS Research Map | TGRS