A novel two-stage deep learning approach for lung cancer using enhanced ResNet50 segmentation and LungSwarmNet classification

Nature·Dec 6

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1

Detection and classification of lung cancer using sequential hybridization of CNN and RNN type architectures

Frontiers·Apr 13

2

Interpretable hybrid ensemble with attention-based fusion and EAOO-GA optimization for lung cancer detection

Nature·Mar 3

3

Medical pattern classification using a novel binary similarity approach based on an associative classifier

Frontiers·Dec 11

4

Explainable active reinforcement deep learning improves lung cancer detection from CT images | Scientific Reports

Nature·Feb 24

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RETRACTED ARTICLE: LungGANDetectAI: a GAN-augmented and attention-guided deep learning framework for accurate and explainable lung cancer detection | Scientific Reports

Nature·Jan 7

6

A hybrid LSTM-GRU framework for lung cancer classification using GWO-WOA algorithm for hyperparameter tuning and BPSO for feature selection | Scientific Reports

Nature·Feb 13

7

A deep learning framework for breast cancer diagnosis using Swin Transformer and Dual-Attention Multi-scale Fusion Network

Nature·Mar 12

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Design of an integrated model using U-Net, DeepSurv, and cross-attention for lung cancer classification and survival prediction

Nature·Dec 3