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An enhanced approach for chest X-ray image classification via residual EfficientNet-based LSTM layer with adaptive heuristic assisted segmentation for the early detection of diseases

Sridevi Gadde et al.

Journal of Statistical Computation and Simulation2026https://doi.org/10.1080/00949655.2026.2636782article
ABDC C
Weight
0.50

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https://doi.org/https://doi.org/10.1080/00949655.2026.2636782

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@article{sridevi2026,
  title        = {{An enhanced approach for chest X-ray image classification via residual EfficientNet-based LSTM layer with adaptive heuristic assisted segmentation for the early detection of diseases}},
  author       = {Sridevi Gadde et al.},
  journal      = {Journal of Statistical Computation and Simulation},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/00949655.2026.2636782},
}

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An enhanced approach for chest X-ray image classification via residual EfficientNet-based LSTM layer with adaptive heuristic assisted segmentation for the early detection of diseases

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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