Publications by authors named "Maira Suzuka Kudo"
Article Synopsis
- The paper discusses how artificial intelligence (AI) can enhance clinical and histopathological analysis, particularly benefiting oral pathologists and surgeons by improving treatment and prognosis.
- It features a literature review on the foundations and functionality of convolutional neural networks (CNNs), highlighting their importance in modern AI and deep learning.
- The conclusion emphasizes that AI models and computer vision techniques can significantly assist in diagnosing and predicting outcomes for head and neck cancer.
Background: The Gleason grading system is an important clinical practice for diagnosing prostate cancer in pathology images. However, this analysis results in significant variability among pathologists, hence creating possible negative clinical impacts. Artificial intelligence methods can be an important support for the pathologist, improving Gleason grade classifications.
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