Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet’s power

Authors

K. Selva Sheela (ORCID: https://orcid.org/0000-0001-6370-6690)
Rajiv Kumar (ORCID: https://orcid.org/0000-0002-7270-0765)
Vivek Justus
Renas Rajab Asaad

Institutions

SRM Institute of Science and Technology (IN)
Nawroz University (IQ)

Publication Details

Journal: Technology and Health Care
Published: 2024-09-03
DOI: https://doi.org/10.3233/thc-230931
Citations: 12
Primary Topic: AI in cancer detection
Type: article
Field-Weighted Citation Impact: 4.17

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article

Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet’s power

K. Selva Sheela, Rajiv Kumar, Vivek Justus, Renas Rajab Asaad

Sep 3, 2024

12 citations

Technology and Health Care

AI in cancer detection

4.17

article

Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet’s power

K. Selva Sheela, Rajiv Kumar, Vivek Justus, Renas Rajab Asaad

September 3, 2024article en

12 citations

Abstract

No abstract available for this paper.

Technology and Health CareVol. 33(1)

SRM Institute of Science and Technology (IN), Nawroz University (IQ)

Good health and well-being

Openalex Percentile: Top 5%

AI in cancer detection

4.17

DOI Source OpenAlex

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Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet’s power — K. Selva Sheela, Rajiv Kumar, et al. · Technology and Health Care (2024) | TGRS Research Map | TGRS