Background and objectives Non-alcoholic fatty liver disease (NAFLD) is a common liver
disease with a rapidly growing incidence worldwide. For prognostication and therapeutic …

Precise segmentation is in demand for hepatocellular carcinoma or metastasis clinical
diagnosis due to the heterogeneous appearance and diverse anatomy of the liver on …

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 …

Early detection of liver malignancy based on medical image analysis plays a crucial role in
patient prognosis and personalized treatment. This task, however, is challenging due to …

Recent studies on Machine learning (ML) and its industrial applications report that ML-
enabled systems may be at a high risk of failure or they can easily fall short of business …

Liver cancer diagnosis requires preprocessing of images with preserved structural details. In
this study, a multi-level generative adversarial network (GAN) is proposed to enhance …

Purpose Machine learning (ML) has become a major trend in the industry because it is a
new and extremely advanced technical application. Design ML is utilized in various areas …

Cervical cytology image classification is of great significance to the cervical cancer
diagnosis and prognosis. Recently, convolutional neural network (CNN) and visual …

2021 Deep learning Detection of HSIL and LSIL in cervical cancer Phase I-III Internal
0.97[18] 2018 Machine learning Breast cancer staging Phase I, II, IV NIL 0.84[19] 2021 …

Objective To provide the current research progress, hotspots, and emerging trends for AI in
liver cancer, we have compiled a relative comprehensive and quantitative report on the …