Publications by authors named "Eduardo Santos Carlos de Souza"

Objective: The present study aims to quantify clinicians' perceptions of oral potentially malignant disorders (OPMDs) when evaluating, classifying, and manually annotating clinical images, as well as to understand the source of inter-observer variability when assessing these lesions. The hypothesis was that different interpretations could affect the quality of the annotations used to train a Supervised Learning model.

Study Design: Forty-six clinical images from 37 patients were reviewed, classified, and manually annotated at the pixel level by 3 labelers.

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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.
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