Detection of basal cell carcinoma by machine learning‐assisted ex vivo confocal laser scanning microscopy

The deep learning model developed in our study holds the potential to assist the diagnostic decision-making process and diminish the training time of novices by depicting tumor-positive regions in EVCM images.

Authors

Institutions

Publication Details

Journal
International Journal of Dermatology
Published
2024-12-03
DOI
https://doi.org/10.1111/ijd.17519
Citations
2
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection of basal cell carcinoma by machine learning‐assisted ex vivo confocal laser scanning microscopy

Pinar Avci, Florian Neumeier, Ikenna U. Ikeliani, Víctor Padrón‐Laso et al.
2 citations
International Journal of Dermatology
AI in cancer detection
0.69
article

Detection of basal cell carcinoma by machine learning‐assisted ex vivo confocal laser scanning microscopy

Pinar Avci, Florian Neumeier, Ikenna U. Ikeliani, Víctor Padrón‐Laso, Žan Jonke, Marie C. Düsedau, Ramona Fenderle
article en
2 citations

Abstract

The deep learning model developed in our study holds the potential to assist the diagnostic decision-making process and diminish the training time of novices by depicting tumor-positive regions in EVCM images.

International Journal of DermatologyVol. 64(4)
LMU Klinikum (DE), Zero to Three (US), Ludwig-Maximilians-Universität München (DE)
Bayerische Staatsministerium für Wirtschaft, Landesentwicklung und Energie
Peace, Justice and strong institutions
Openalex Percentile: Top 23%
AI in cancer detection
0.69
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.