An efficient attention encoder decoder-based residual-UNet for the segmentation of liver and lung tumour

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 Data Mining and Bioinformatics
Published
2025-02-04
DOI
https://doi.org/10.1504/ijdmb.2026.10069197
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

An efficient attention encoder decoder-based residual-UNet for the segmentation of liver and lung tumour

P. Dileep, Ulligaddala Srinivasarao, Rakesh Kumar Donthi, Ram Chandra Bhushan et al.
International Journal of Data Mining and Bioinformatics
Radiomics and Machine Learning in Medical Imaging
article

An efficient attention encoder decoder-based residual-UNet for the segmentation of liver and lung tumour

P. Dileep, Ulligaddala Srinivasarao, Rakesh Kumar Donthi, Ram Chandra Bhushan, N. Lakshmipathi Anantha
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 Data Mining and BioinformaticsVol. 1(1)
Zero hunger
Openalex Percentile: Top 97%
Radiomics and Machine Learning in Medical Imaging
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