Ensemble Learning Model: A Novel Technique to Detect Malignancy in Effusion Cytology

To our knowledge, this is the first study applying a six-model ensemble deep learning approach in effusion cytology. The combined transfer learning framework demonstrated excellent diagnostic performance and may serve as a future tool for carcinoma detection in effusion cytology.

Authors

Institutions

Publication Details

Journal
Cytopathology
Published
2025-11-08
DOI
https://doi.org/10.1111/cyt.70036
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ensemble Learning Model: A Novel Technique to Detect Malignancy in Effusion Cytology

Nupur Pradhan, Pranab Dey, Saumya Sahu
Cytopathology
AI in cancer detection
article

Ensemble Learning Model: A Novel Technique to Detect Malignancy in Effusion Cytology

Nupur Pradhan, Pranab Dey, Saumya Sahu
article en

Abstract

To our knowledge, this is the first study applying a six-model ensemble deep learning approach in effusion cytology. The combined transfer learning framework demonstrated excellent diagnostic performance and may serve as a future tool for carcinoma detection in effusion cytology.

CytopathologyVol. 37(2)
Homi Bhabha National Institute (IN), Post Graduate Institute of Medical Education and Research (IN), All India Institute of Medical Sciences (IN)
Openalex Percentile: Top 82%
AI in cancer detection
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.