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Lung Cancer Detection Using Deep Learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1038/srep46479openalex-extracted

Towards automatic pulmonary nodule management in lung cancer screening with deep learning

inferredcites →https://doi.org/10.1590/2446-4740.04615openalex-extracted

Taxonomic indexes for differentiating malignancy of lung nodules on CT images

inferredcites →https://doi.org/10.48550/arxiv.1603.04833openalex-extracted

Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images

inferredcites →https://doi.org/10.48550/arxiv.1611.06651openalex-extracted

Deep Learning for the Classification of Lung Nodules

inferredcites →https://doi.org/10.5114/aoms.2015.54859openalex-extracted

Lung cancer screening: history, current perspectives, and future directions.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-76732-7_2openalex-snapshot

Comparative Study and Detection of COVID-19 and Related Viral Pneumonia Using Fine-Tuned Deep Transfer Learning

inferred← citeshttps://doi.org/10.1007/978-981-95-0681-1_17openalex-snapshot

A Dual-Model Approach Utilizing Convolutional Autoencoders and Deep Neural Networks for Lung Cancer Detection

inferred← citeshttps://doi.org/10.1007/978-981-96-8441-0_5openalex-snapshot

A Comprehensive Review of Representation Learning Models for Pulmonary Nodule Extraction in Lung Cancer Diagnosis

inferred← citeshttps://doi.org/10.1007/s12652-020-02071-2openalex-snapshot

RETRACTED ARTICLE: Classification of lung cancer stages with machine learning over big data healthcare framework

inferred← citeshttps://doi.org/10.1093/comjnl/bxab141openalex-snapshot

Lung Cancer Detection and Severity Level Classification Using Sine Cosine Sail Fish Optimization Based Generative Adversarial Network with CT Images

inferred← citeshttps://doi.org/10.1109/autocom64127.2025.10957162openalex-snapshot

Hybrid Learning in Medical Imaging: CNN-SVM Applications in Lung Cancer Detection

inferred← citeshttps://doi.org/10.1109/cict51604.2020.9312064openalex-snapshot

Representative Primary Capsule in Capsule Network Architecture for Fast Convergence

inferred← citeshttps://doi.org/10.1109/gcat62922.2024.10924025openalex-snapshot

Superior Lung Cancer Detection through CNN and Random Forest: The NeuroForest Approach

inferred← citeshttps://doi.org/10.1109/ic-sit63503.2024.10862597openalex-snapshot

NeuroForest: Combining CNN and Random Forest for Superior Lung Cancer Detection

inferred← citeshttps://doi.org/10.1109/icaeca56562.2023.10199802openalex-snapshot

Logistic Segmentation and Multistage Categorization based Predictive Modeling of Lung Cancer

inferred← citeshttps://doi.org/10.1109/icccit62592.2025.10927879openalex-snapshot

A Novel Deep Learning Model Based Lung Cancer Detection of Histopathological Images

inferred← citeshttps://doi.org/10.1109/icict50816.2021.9358545openalex-snapshot

Lung Nodule Detection through CT Scan Images and DNN Models

inferred← citeshttps://doi.org/10.1109/icoct64433.2025.11118467openalex-snapshot

AI-Powered Lung Cancer Diagnosis: A Hybrid Model Utilizing CNN for CT Images and RF for Metadata-Based Risk Assessment

inferred← citeshttps://doi.org/10.1109/icssit46314.2019.8987580openalex-snapshot

Proposing an Early Diagnostic Deep Learning Approach to Detect Lung Cancer from Short-Breaths

inferred← citeshttps://doi.org/10.1109/icssit69151.2026.11656379openalex-snapshot

RO-InceptionNeXt: Raindrop Optimized InceptionNeXt for Lung Cancer Detection

inferred← citeshttps://doi.org/10.21786/bbrc/14.5/54openalex-snapshot

Early-Stage Lung Cancer Detection Using Machine Learning

inferred← citeshttps://doi.org/10.30534/ijatcse/2020/77952020openalex-snapshot

Detection of COVID-19 in Computed Tomography (CT) Scan Images using Deep Learning

inferred← citeshttps://doi.org/10.3389/fcomp.2024.1423693openalex-snapshot

Lung tumor segmentation: a review of the state of the art

inferred← citeshttps://doi.org/10.3390/diagnostics13061174openalex-snapshot

A CAD System for Lung Cancer Detection Using Hybrid Deep Learning Techniques

inferred← citeshttps://doi.org/10.56294/mw2024.586openalex-snapshot

Deep Learning Approaches for Lung Cancer Detection: A Comprehensive Analysis of Models, Optimization Techniques, and Architectures

inferred← citeshttps://doi.org/10.7717/peerj-cs.614openalex-snapshot

Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset

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