Titlebook: Artificial Intelligence in Healthcare; Lalit Garg,Sebastian Basterrech,Tarun K. Sharma Book 2022 The Editor(s) (if applicable) and The Aut

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Pop Music, Culture and Identityious stages- by stages, those are benign, unsure, or malignant. Our focus through this study is to work around detecting the type of tumor and improve the efficiency in identifying unsure or pre-malignant tumors using VGG-16 neural frameworks on the LIDC-IDRI dataset.

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Fanny Hensel geb. Mendelssohn Bartholdyarning for solving the problems and to overcome the challenges in the healthcare field. The encouraging results from surveys generated using deep learning will drag many researchers to use deep learning into the area of healthcare in near future.

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Applications of Swarm Intelligent and Deep Learning Algorithms for Image-Based Cancer Recognition,-encoders. In swarm intelligent algorithms, we talk about architecture of genetic algorithms. Secondly, this study presents a brief survey about the research exploiting deep learning and swarm intelligent algorithms for cancer recognition.

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A Particle Swarm Optimization Based ANN Predictive Model for Statistical Detection of COVID-19,has COVID-19 or not. The performance of the model is evaluated based on recall, accuracy, precision, and AUC parameters. Different hyperparameter tunings were made and the results were compared. This model will help the healthcare workers in tackling the pandemic when limited resources are present.

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