Artificial intelligence for the prevention and clinical management of hepatocellular carcinoma
Hepatocellular carcinoma (HCC) currently represents the fifth most common malignancy and
the third-leading cause of cancer-related death worldwide, with incidence and mortality rates …
the third-leading cause of cancer-related death worldwide, with incidence and mortality rates …
[HTML][HTML] Artificial intelligence in medical imaging of the liver
LQ Zhou, JY Wang, SY Yu, GG Wu, Q Wei… - World journal of …, 2019 - ncbi.nlm.nih.gov
Artificial intelligence (AI), particularly deep learning algorithms, is gaining extensive attention
for its excellent performance in image-recognition tasks. They can automatically make a …
for its excellent performance in image-recognition tasks. They can automatically make a …
[HTML][HTML] Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer …
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …
Machine learning based liver disease diagnosis: A systematic review
The computer-based approach is required for the non-invasive detection of chronic liver
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …
Liver cancer detection using hybridized fully convolutional neural network based on deep learning framework
X Dong, Y Zhou, L Wang, J Peng, Y Lou, Y Fan - IEEE Access, 2020 - ieeexplore.ieee.org
Liver cancer is one of the world's largest causes of death to humans. It is a difficult task and
time consuming to identify the cancer tissue manually in the present scenario. The …
time consuming to identify the cancer tissue manually in the present scenario. The …
Radiological diagnosis of chronic liver disease and hepatocellular carcinoma: A review
Medical image analysis plays a pivotal role in the evaluation of diseases, including
screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs …
screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs …
Artificial intelligence: a review of current applications in hepatocellular carcinoma imaging
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and
currently the third-leading cause of cancer-related death worldwide. Recently, artificial …
currently the third-leading cause of cancer-related death worldwide. Recently, artificial …
Deep learning algorithms with demographic information help to detect tuberculosis in chest radiographs in annual workers' health examination data
We aimed to use deep learning to detect tuberculosis in chest radiographs in annual
workers' health examination data and compare the performances of convolutional neural …
workers' health examination data and compare the performances of convolutional neural …
[HTML][HTML] Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review
MJ Pérez, RG Grande - World journal of gastroenterology, 2020 - ncbi.nlm.nih.gov
Although artificial intelligence (AI) was initially developed many years ago, it has
experienced spectacular advances over the last 10 years for application in the field of …
experienced spectacular advances over the last 10 years for application in the field of …
Projective parameter transfer based sparse multiple empirical kernel learning machine for diagnosis of brain disease
Single-modal neuroimaging-based diagnosis for brain diseases is a main routine due to the
lack of advanced imaging devices, especially in rural hospitals. Transfer learning (TL) has …
lack of advanced imaging devices, especially in rural hospitals. Transfer learning (TL) has …