This paper provides a critical review of the literature on deep learning applications in breast
tumor diagnosis using ultrasound and mammography images. It also summarizes recent …

The manuscript aims at providing an overview of the published algorithms/automation tool
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …

Breast cancer is now widely known to be the second most lethal disease among women.
Computer-aided detection (CAD) systems, deep learning (DL) in particular, have continued …

摘要医学影像作为医疗数据的主要载体, 在疾病预防, 诊断和治疗中发挥着重要作用.
医学图像分类是医学影像分析的重要组成部分. 如何提高医学图像分类效率是一个持续的研究 …

Females are approximately half of the total population worldwide, and most of them are
victims of breast cancer (BC). Computer‐aided diagnosis (CAD) frameworks can help …

The immunohistochemical (IHC) evaluation of epidermal growth factor 2 (HER2) for the
diagnosis of breast cancer is still qualitative with a high degree of inter‑observer variability …

Objective This study aims to assess the value of biomarker based radiomics to predict IDH
mutation in gliomas. The patient cohort consists of 160 patients histopathologicaly proven of …

Purpose Breast cancer is the cancer with the highest incidence in women, and early
detection can effectively improve the survival rate of patients. Mammography is an important …

Background and objective Mammography plays a crucial role in breast cancer screening
because it can be used to diagnose a breast mass and breast calcification region early …

Abstract Objective The Yamamoto–Kohama criteria are clinically useful for determining the
mode of tumor invasion, especially in Japan. However, this evaluation method is based on …