Whole slide images-based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence.
Yuki TakashinaShin-Ei KudoYuta KouyamaKatsuro IchimasaHideyuki MiyachiYuichi MoriToyoki KudoYasuharu MaedaYushi OgawaTakemasa HayashiKunihiko WakamuraEnami YutaNaruhiko SawadaToshiyuki BabaTetsuo NemotoFumio IshidaMasashi MisawaPublished in: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society (2023)
We developed a pathologist-independent predictive model for LNM in T1 CRC using WSI for determination of the need for surgery after endoscopic resection.
Keyphrases
- artificial intelligence
- lymph node metastasis
- machine learning
- deep learning
- big data
- minimally invasive
- squamous cell carcinoma
- papillary thyroid
- coronary artery bypass
- convolutional neural network
- ultrasound guided
- molecularly imprinted
- solid phase extraction
- surgical site infection
- percutaneous coronary intervention