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Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening radiomics in bowel wall thickening.

Hande Melike BülbülGülen BurakgaziUğur KesimalEsat Kaba
Published in: Japanese journal of radiology (2024)
In conclusion, radiomic-based machine learning has shown high success in distinguishing malignant and benign BWT and may improve diagnostic accuracy compared to clinical features only. The results of our study may help ensure early diagnosis and treatment of colorectal cancers by facilitating the recognition of malignant BWT.
Keyphrases
  • machine learning
  • lymph node metastasis
  • artificial intelligence
  • contrast enhanced
  • magnetic resonance imaging
  • deep learning
  • squamous cell carcinoma