Virtual clinical trials (VCTs) can be used to evaluate and optimise medical imaging systems. VCTs are based on computer simulations of human anatomy, imaging modalities and image interpretation. OpenVCT is an open-source framework for conducting VCTs...
Low specificity and operator dependency are the main problems of breast ultrasound (US) screening. We investigated the added value of deep learning-based computer-aided diagnosis (S-Detect) and shear wave elastography (SWE) to B-mode US for evaluatio...
Mathematical biosciences and engineering : MBE
Jun 7, 2021
Radiology experts often face difficulties in mammography mass lesion labeling, which may lead to conclusive yet unnecessary and expensive breast biopsies. This paper focuses on building an automated diagnosis tool that supports radiologists in identi...
Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
Apr 28, 2021
With the upsurge of medical artificial intelligence,the use of computer vision technology to study medical images,which can effectively help doctors to identify and screen diseases,has become a focus of researchers.This paper summarizes the basic sit...
Zhonghua bing li xue za zhi = Chinese journal of pathology
Apr 8, 2021
To study the association between histopathological features and HER2 overexpression/amplification in breast cancers using deep learning algorithms. A total of 345 HE-stained slides of breast cancer from 2012 to 2018 were collected at the China-Japa...
Advances in experimental medicine and biology
Jan 1, 2021
Clinical database is a collection of clinical data related to patients, which can be used for analysis and research. Clinical data can be classified into several categories: patient-related, tumor-related, diagnostics-related, treatment-related, outc...
PURPOSE: Neoadjuvant chemotherapy (NAC) is used to treat locally advanced breast cancer (LABC) and high-risk early breast cancer (BC). Pathological complete response (pCR) has prognostic value depending on BC subtype. Rates of pCR, however, can be va...
Artificial intelligence (AI) technology shows promise in breast imaging to improve both interpretive and noninterpretive tasks. AI-based screening triage may help identify normal examinations and AI-based computer-aided detection (AI-CAD) may increas...
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