Contrast-Enhanced CT-Based Deep Learning and Habitat Radiomics for Analysing the Predictive Capability for Oral Squamous Cell Carcinoma

The habitat-clinical integrated model may assist clinicians in performing accurate preoperative prognostic assessments in patients with oral cancer.

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Publication Details

Journal
International Dental Journal
Published
2025-07-24
DOI
https://doi.org/10.1016/j.identj.2025.100914
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Contrast-Enhanced CT-Based Deep Learning and Habitat Radiomics for Analysing the Predictive Capability for Oral Squamous Cell Carcinoma

Binyang Fu, Zhuang Liang, X. Sharon Qi, Qilin Liu et al.
1 citations
International Dental Journal
Radiomics and Machine Learning in Medical Imaging
1.36
article

Contrast-Enhanced CT-Based Deep Learning and Habitat Radiomics for Analysing the Predictive Capability for Oral Squamous Cell Carcinoma

Binyang Fu, Zhuang Liang, X. Sharon Qi, Qilin Liu, Hui Dong, Shuwen Yang
article en
1 citations

Abstract

The habitat-clinical integrated model may assist clinicians in performing accurate preoperative prognostic assessments in patients with oral cancer.

International Dental JournalVol. 75(5)
Dalian Medical University (CN), Second Affiliated Hospital of Dalian Medical University (CN)
Life in Land
Openalex Percentile: Top 17%
Radiomics and Machine Learning in Medical Imaging
1.36
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