Recent trend in medical imaging modalities and their applications in disease diagnosis: a review

Abhisheka, Barsha; Biswas, Saroj Kumar; Purkayastha, Biswajit; Das, Dolly; Escargueil, Alexandre

doi:10.1007/s11042-023-17326-1

Cited by 15 publications

(1 citation statement)

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“…Ongoing developments in AI-based mammogram analysis involve the integration of multimodal data and the incorporation of advanced imaging techniques [60]. Researchers are exploring the synergy of mammography with other imaging modalities such as ultrasound, magnetic resonance imaging (MRI), and molecular imaging [61]. The combination of information from multiple sources can provide a more comprehensive view of breast tissue, potentially improving the accuracy of cancer detection and characterization.…”

Section: Ongoing Developments In Ai-based Mammogram Analysismentioning

confidence: 99%

Artificial Intelligence-based Mammogram Analysis for Early Detection

2023

Preprint

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The article focuses on breast cancer, mammography, and artificial intelligence. First, breast cancer is a widespread health problem that affects millions of people worldwide, and mammography is a widely adopted screening method. Then it introduced the advantages of mammography after AI participation, and introduced the importance of early detection of breast cancer and the application of artificial intelligence in breast cancer detection and treatment. From these aspects extend to the entire medical field of artificial intelligence issues. Several times throughout the paper, ethical issues that could arise from applying AI to healthcare are highlighted. At the end of the article, the paper describes the continued development of AI-based mammography analysis over the next period of time.

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Section: Ongoing Developments In Ai-based Mammogram Analysismentioning

confidence: 99%