Lung Cancer Classification Based on CT Images Using Hybrid Convolutional Neural Network-Random Forest Model

Authors

Institutions

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2024-11-07
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lung Cancer Classification Based on CT Images Using Hybrid Convolutional Neural Network-Random Forest Model

Nhem Darayut, Kim Sveng, Sean Sreyka, Soy Vitou et al.
SPIRE - Sciences Po Institutional REpository
Radiomics and Machine Learning in Medical Imaging
article

Lung Cancer Classification Based on CT Images Using Hybrid Convolutional Neural Network-Random Forest Model

Nhem Darayut, Kim Sveng, Sean Sreyka, Soy Vitou, Chhim Bunchhun
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Royal University of Phnom Penh (KH)
Openalex Percentile: Top 57%
Radiomics and Machine Learning in Medical Imaging
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.

Lung Cancer Classification Based on CT Images Using Hybrid Convolutional Neural Network-Random Forest Model — Nhem Darayut, Kim Sveng, et al. · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS