Introductory Approaches for Applying Artificial Intelligence in Clinical Medicine

Lidströmer, Niklas; Aresu, Federica; Ashrafian, Hutan

doi:10.1007/978-3-030-58080-3_18-1

Cited by 1 publication

(1 citation statement)

References 45 publications

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“…Using artificial intelligence in the field of disease diagnosis can be an inspiration and avoid intervention of human being to improve accuracy [7]. Human intervention is found at every stage of the disease diagnosis, and it turns out that this is one of the best reasons for using artificial intelligence in this process [8].…”

Section: Modern Medical Diagnosis Uses the Latest Technologies To Hel...mentioning

confidence: 99%

Feed Forward Neural Network based Brain Tumor Diagnosis in Magnetic Resonance Images

Gaikwad¹,

Dhumale²,

Dhumale

et al. 2022

IJEER

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In the realm of medicine, value, resource use and final care are determined by good technological advancement. However, there are crucial components that must be present for a disease to be diagnosed. The monitoring of illness progression traditionally relies primarily on a subjective human judgment and is neither precise nor timely. One important aspect that utilizes data at various disease progression phases is to maintain routine disease surveillance. The Feed Forward Neural Network based Brain Tumor Diagnosis in Magnetic Resonance Images is provided in this paper as an automatic brain cancer diagnosis and grade classification method. It is highly helpful to have accurate information about the disease in order to classify it and make decisions. The suggested brain tumor diagnosis system can diagnose the condition and provide a reliable foundation for appropriate regulation, as opposed to manual approaches. Finally, the evaluated outcomes of the suggested model investigate numerous Magnetic Resonance Images of healthy and disease and demonstrate that, the proposed method has the highest accuracy.

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Section: Modern Medical Diagnosis Uses the Latest Technologies To Hel...mentioning

confidence: 99%

Feed Forward Neural Network based Brain Tumor Diagnosis in Magnetic Resonance Images

Gaikwad¹,

Dhumale²,

Dhumale

et al. 2022

IJEER

View full text Add to dashboard Cite

show abstract

Introductory Approaches for Applying Artificial Intelligence in Clinical Medicine

Cited by 1 publication

References 45 publications

Feed Forward Neural Network based Brain Tumor Diagnosis in Magnetic Resonance Images

Feed Forward Neural Network based Brain Tumor Diagnosis in Magnetic Resonance Images

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