Improving HCC Prognostic Models after Liver Resection by AI-Extracted Tissue Fiber Framework Analytics

R Stulpinas, M Morkunas, A Rasmusson, J Drachneris… - Cancers, 2023 - mdpi.com
Simple Summary Prognosis of patients after surgical resection for hepatocellular carcinoma
(HCC) is often obscured by the variable impact of the tumor and remaining liver properties …

Predict early recurrence of resectable hepatocellular carcinoma using multi-dimensional artificial intelligence analysis of liver fibrosis

IT Liu, CS Yen, WL Wang, HW Tsai, CY Chu… - Cancers, 2021 - mdpi.com
Simple Summary Hepatocellular carcinoma (HCC) is the third most commonly diagnosed
cancer in the world, and surgical resection is the commonly used curative management of …

Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images

R Yamashita, J Long, A Saleem, DL Rubin, J Shen - Scientific reports, 2021 - nature.com
Recurrence risk stratification of patients undergoing primary surgical resection for
hepatocellular carcinoma (HCC) is an area of active investigation, and several staging …

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

B Schmauch, SS Elsoukkary, A Moro, R Raj… - Journal of Pathology …, 2024 - Elsevier
Hepatocellular carcinoma (HCC) is among the most common cancers worldwide, and tumor
recurrence following liver resection or transplantation is one of the highest contributors to …

Classification and prognosis prediction from histopathological images of hepatocellular carcinoma by a fully automated pipeline based on machine learning

H Liao, T Xiong, J Peng, L Xu, M Liao, Z Zhang… - Annals of surgical …, 2020 - Springer
Objective The aim of this study was to develop quantitative feature-based models from
histopathological images to distinguish hepatocellular carcinoma (HCC) from adjacent …

A multi‐scale, multi‐region and attention mechanism‐based deep learning framework for prediction of grading in hepatocellular carcinoma

J Wei, Q Ji, Y Gao, X Yang, D Guo, D Gu… - Medical …, 2023 - Wiley Online Library
Background Histopathological grading is a significant risk factor for postsurgical recurrence
in hepatocellular carcinoma (HCC). Preoperative knowledge of histopathological grading …

Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study

GW Ji, FP Zhu, Q Xu, K Wang, MY Wu, WW Tang… - …, 2019 - thelancet.com
Background Current guidelines recommend surgical resection as the first-line option for
patients with solitary hepatocellular carcinoma (HCC); unfortunately, postoperative …

Multi-scale patches convolutional neural network predicting the histological grade of hepatocellular carcinoma

D Gu, D Guo, C Yuan, J Wei, Z Wang… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Preoperative predicting histological grade of hepatocellular carcinoma (HCC) is a crucial
issue for the evaluation of patient prognosis and determining clinical treatment strategies …

A clinical‐radiomic‐pathomic model for prognosis prediction in patients with hepatocellular carcinoma after radical resection

Q Xie, Z Zhao, Y Yang, X Wang, W Wu… - Cancer …, 2024 - Wiley Online Library
Purpose Radical surgery, the first‐line treatment for patients with hepatocellular cancer
(HCC), faces the dilemma of high early recurrence rates and the inability to predict …

Deep learning-derived spatial organization features on histology images predicts prognosis in colorectal liver metastasis patients after hepatectomy

L Qi, J Liang, Z Li, S Xi, Y Lai, F Gao, X Zhang, D Wang… - Iscience, 2023 - cell.com
Histopathological images of colorectal liver metastases (CRLM) contain rich morphometric
information that may predict patients' outcomes. However, to our knowledge, no study has …