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 …
negative impact on human survival. However, it is a challenging task to recognize tens of …
Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism
C Chen, C Chen, M Ma, X Ma, X Lv, X Dong… - BMC Medical Informatics …, 2022 - Springer
Purpose Liver cancer is one of the most common malignant tumors in the world, ranking fifth
in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The …
in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The …
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 …
leading cause of death from cancer. Hepatocellular carcinoma (HCC) is the most common …
LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology …
Purpose Liver cancer is one of the most common types of cancers in Asia with a high
mortality rate. A common method for liver cancer diagnosis is the manual examination of …
mortality rate. A common method for liver cancer diagnosis is the manual examination of …
Deep learning-based universal expert-level recognizing pathological images of hepatocellular carcinoma and beyond
WM Chen, M Fu, CJ Zhang, QQ Xing, F Zhou… - Frontiers in …, 2022 - frontiersin.org
Background and Aims We aim to develop a diagnostic tool for pathological-image
classification using transfer learning that can be applied to diverse tumor types. Methods …
classification using transfer learning that can be applied to diverse tumor types. Methods …
Hepatocellular carcinoma histopathological images grading with a novel attention-sharing hybrid network based on multi-feature fusion
J Zhang, S Qiu, Q Li, C Zhou, Z Hu, J Weng… - … Signal Processing and …, 2023 - Elsevier
Throughout history until today, hepatocellular carcinoma (HCC) remains one of the most
serious illnesses worldwide due to its high mortality rates. One of the most essential steps to …
serious illnesses worldwide due to its high mortality rates. One of the most essential steps to …
Multi-input dense convolutional network for classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma
X Zhang, N Jia, Y Wang - Biomedical Signal Processing and Control, 2023 - Elsevier
Primary liver cancer is one of the leading causes of cancer deaths worldwide. The most
common types of primary liver cancer are hepatocellular carcinoma (HCC) and intrahepatic …
common types of primary liver cancer are hepatocellular carcinoma (HCC) and intrahepatic …
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 …
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …
A multi-modal deep neural network for multi-class liver cancer diagnosis
Liver disease is a potentially asymptomatic clinical entity that may progress to patient death.
This study proposes a multi-modal deep neural network for multi-class malignant liver …
This study proposes a multi-modal deep neural network for multi-class malignant liver …
Feature extraction-based liver tumor classification using Machine Learning and Deep Learning methods of computed tomography images
MH Malik, H Ghous, T Rashid, B Maryum… - Cogent …, 2024 - Taylor & Francis
The liver is an important and multifunctional human organ. Early and accurate diagnosis of a
liver tumor can save lives. Computed Tomography (CT) images provide comprehensive …
liver tumor can save lives. Computed Tomography (CT) images provide comprehensive …