Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications
MA El-Shorbagy, A Bouaouda, HA Nabwey… - IEEE …, 2024 - ieeexplore.ieee.org
The Henry Gas Solubility Optimization (HGSO) is a physics-based metaheuristic inspired by
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …
LCDAE: data augmented ensemble framework for lung cancer classification
Objective: The only possible solution to increase the patients' fatality rate is lung cancer
early-stage detection. Recently, deep learning techniques became the most promising …
early-stage detection. Recently, deep learning techniques became the most promising …
Deep volcanic residual U-Net for nodal metastasis (Nmet) identification from lung cancer
Lymph node metastasis detections are more clinically significant task associated with the
presence and reappearance of lung cancer. The development of the computer-assisted …
presence and reappearance of lung cancer. The development of the computer-assisted …
[PDF][PDF] A REVIEW FOR DETECTING CANCER FROM HISTOPATHOLOGY IMAGES
MAP Mohamed, MS Ibrahim - journal-dogorangsang.in
Strong computer-assisted analytical approaches to radiological data have been developed
during the past ten years thanks to huge advances in computational capacity and …
during the past ten years thanks to huge advances in computational capacity and …