Identification of Micrometastasis in Cervical Lymph Nodes – A Machine Learning-Based Approach

The CNN model can function as a supplementary tool to assist pathologic diagnosis, particularly for large-scale populations. CNNs, known for analysing intricate image patterns, can support pathologists by streamlining the identification and evaluation of disease conditions. This support enhances diagnostic efficiency and improves accuracy when managing vast data volumes.

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Publication Details

Journal
International Dental Journal
Published
2026-02-04
DOI
https://doi.org/10.1016/j.identj.2025.109399
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification of Micrometastasis in Cervical Lymph Nodes – A Machine Learning-Based Approach

Venkata Suresh Venkataiah, Sowmya SV, Kuntala Mondal, Shankargouda Patil et al.
International Dental Journal
AI in cancer detection
article

Identification of Micrometastasis in Cervical Lymph Nodes – A Machine Learning-Based Approach

Venkata Suresh Venkataiah, Sowmya SV, Kuntala Mondal, Shankargouda Patil, BR Karthikeyan, Dominic Augustine
article en

Abstract

The CNN model can function as a supplementary tool to assist pathologic diagnosis, particularly for large-scale populations. CNNs, known for analysing intricate image patterns, can support pathologists by streamlining the identification and evaluation of disease conditions. This support enhances diagnostic efficiency and improves accuracy when managing vast data volumes.

International Dental JournalVol. 76(2)
Ajman University (AE), Roseman University of Health Sciences (US), M S Ramaiah University of Applied Sciences (IN)
Openalex Percentile: Top 68%
AI in cancer detection
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