Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgery-Reference-Cited by-同舟云学术

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Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgery

Published:2023-12 Issue: Volume: Page:100360
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:Journal of Pathology Informatics

Author:

Schmauch Benoit,Elsoukkary Sarah S.,Moro Amika,Raj Roma,Wehrle Chase J.,Sasaki Kazunari,Calderaro Julien,Sin-Chan Patrick,Aucejo Federico,Roberts Daniel E.

Publisher

Elsevier BV

Subject

Computer Science Applications,Health Informatics,Pathology and Forensic Medicine

Reference42 articles.

1. GLOBOCAN 2020;Sung;ACS J,2021

2. Hepatocellular carcinoma in non-cirrhotic liver: a comprehensive review;Desai;World J Hepatol.,2019

3. ESMO Guidelines Committee. Electronic address: clinicalguidelines@esmo.org; ESMO Guidelines Committee. Updated treatment recommendations for hepatocellular carcinoma (HCC) from the ESMO Clinical Practice Guidelines;Vogel;Ann Oncol.,2021

4. Hepatocellular carcinoma recurrence after liver transplantation: risk factors, screening and clinical presentation;Filgueira;World J Hepatol.,2019

5. Managements of recurrent hepatocellular carcinoma after liver transplantation: a systematic review;De'Angelis;World J Gastroenterol.,2015

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