Improved classification of oral cancer through a personalized transfer learning CNN architecture

This research highlights how artificial intelligence can impact clinical workflows in detecting cancer early. The results offer a hopeful path for advancements in automated cancer diagnosis technologies.

Authors

Institutions

Publication Details

Journal
Journal of Oral Biology and Craniofacial Research
Published
2025-10-20
DOI
https://doi.org/10.1016/j.jobcr.2025.10.002
Citations
1
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved classification of oral cancer through a personalized transfer learning CNN architecture

Mangal Sain, Prasant Kumar Pattnaik, Udita J. Monani, Tae Soo Yun
1 citations
Journal of Oral Biology and Craniofacial Research
AI in cancer detection
2.48
article

Improved classification of oral cancer through a personalized transfer learning CNN architecture

Mangal Sain, Prasant Kumar Pattnaik, Udita J. Monani, Tae Soo Yun
article en
1 citations

Abstract

This research highlights how artificial intelligence can impact clinical workflows in detecting cancer early. The results offer a hopeful path for advancements in automated cancer diagnosis technologies.

Journal of Oral Biology and Craniofacial ResearchVol. 15(6)
Dongseo University (KR), KIIT University (IN)
Openalex Percentile: Top 8%
AI in cancer detection
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.