Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis

M Kriegsmann, K Kriegsmann… - Clinical and …, 2023 - Wiley Online Library
Introduction Differentiation of histologically similar structures in the liver, including
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …

Deep learning–enabled diagnosis of liver adenocarcinoma

T Albrecht, A Rossberg, JD Albrecht, JP Nicolay… - Gastroenterology, 2023 - Elsevier
Background & Aims Diagnosis of adenocarcinoma in the liver is a frequent scenario in
routine pathology and has a critical impact on clinical decision making. However, rendering …

Deep learning classification and quantification of pejorative and non-pejorative architectures in resected hepatocellular carcinoma from digital histopathological …

A Laurent-Bellue, A Sadraoui, L Claude… - The American Journal of …, 2024 - Elsevier
Abstract (220 words) Liver resection is one of the best treatments for small hepatocellular
carcinoma, but post-resection recurrence is frequent. Biotherapies have emerged as an …

[HTML][HTML] Deep Learning for the Pathologic Diagnosis of Hepatocellular Carcinoma, Cholangiocarcinoma, and Metastatic Colorectal Cancer

HJ Jang, JH Go, Y Kim, SH Lee - Cancers, 2023 - mdpi.com
Simple Summary The pathologic diagnosis of primary and secondary liver cancers can often
be difficult. Artificial intelligence (AI) presents potential solutions to these difficulties by aiding …

Deep learning for liver cancer histopathology image analysis: A comprehensive survey

H Jiang, Y Yin, J Zhang, W Deng, C Li - Engineering Applications of …, 2024 - Elsevier
Liver cancer is the predominant cause of cancer-related fatalities globally, wherein
Hepatocellular Carcinoma (HCC) and Intrahepatic Cholangiocarcinoma (ICC) emerge as …

End-to-end discriminative deep network for liver lesion classification

FP Romero, A Diler, G Bisson-Gregoire… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
Colorectal liver metastasis is one of most aggressive liver malignancies. While the definition
of lesion type based on CT images determines the diagnosis and therapeutic strategy, the …

[HTML][HTML] Artificial Intelligence-Based Opportunities in Liver Pathology—A Systematic Review

P Allaume, N Rabilloud, B Turlin, E Bardou-Jacquet… - Diagnostics, 2023 - mdpi.com
Background: Artificial Intelligence (AI)-based Deep Neural Networks (DNNs) can handle a
wide range of applications in image analysis, ranging from automated segmentation to …

Deep learning-based hepatocellular carcinoma histopathology image classification: accuracy versus training dataset size

YS Lin, PH Huang, YY Chen - IEEE Access, 2021 - ieeexplore.ieee.org
Globally, liver cancer causes more than 700,000 deaths each year and is the second-
leading cause of death from cancer. Hepatocellular carcinoma (HCC) is the most common …

DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma

H Huang, Y Xie, G Wang, L Zhang, W Zhou - Computer Methods and …, 2022 - Elsevier
Introduction Hepatocellular carcinoma (HCC) is a primary liver cancer with high mortality
rate. The degree of HCC malignancy is an important prognostic factor for predicting …

[HTML][HTML] Fusing pre-trained convolutional neural networks features for multi-differentiated subtypes of liver cancer on histopathological images

X Dong, M Li, P Zhou, X Deng, S Li, X Zhao… - BMC Medical Informatics …, 2022 - Springer
Liver cancer is a malignant tumor with high morbidity and mortality, which has a tremendous
negative impact on human survival. However, it is a challenging task to recognize tens of …