Computer-aided detection or diagnosis (CAD) has been a promising area of research over
the last two decades. Medical image analysis aims to provide a more efficient diagnostic and …

Automatic lung nodule detection has great significance for treating lung cancer and
increasing patient survival. This work summarizes a critical review of recent techniques for …

Background This study aimed to compare one state-of-the-art deep learning method and
four classical machine learning methods for classifying mediastinal lymph node metastasis …

Although promising results of high-performance AI algorithms have been reported in recent
predictive maintenance researches, most of the existing studies merely deal with AI-only …

Histopathology is a method used for breast cancer diagnosis. Machine learning (ML)
methods have achieved success for supervised learning tasks in the medical domain. In this …

Breast cancer is the most prevalent cancer that affects women all over the world. Early
detection and treatment of breast cancer could decline the mortality rate. Some issues such …

Abstract Background and Objective Non-invasively predicting the risk of cancer metastasis
before surgery can play an essential role in determining which patients can benefit from …

Fatty liver disease (FLD) is reversible disease and can be treated, if it is identified at an early
stage. However, if diagnosed at the later stage, it can progress to an advanced liver disease …

计算机辅助检测/诊断(computer-aided detection/diagnosis, 简称CAD) 能够提高诊断的准确性,
减少假阳性的产生, 为医生提供有效的诊断决策支持. 旨在分析计算机辅助诊断工具的最新发展 …

Background The segmentation of breast ultrasound (US) images has been a challenging
task, mainly due to limited data and the inherent image characteristics involved, such as low …