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 …
(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 …
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 …
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 …
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
Objective The aim of this study was to develop quantitative feature-based models from
histopathological images to distinguish hepatocellular carcinoma (HCC) from adjacent …
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 …
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 …
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 …
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 …
(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
Histopathological images of colorectal liver metastases (CRLM) contain rich morphometric
information that may predict patients' outcomes. However, to our knowledge, no study has …
information that may predict patients' outcomes. However, to our knowledge, no study has …