Latest AI and machine learning research in pathology for healthcare professionals.
Carcinoma of unknown primary (CUP), defined as metastatic cancers with unknown cancer origin, occurs...
OBJECTIVE: Artificial intelligence in healthcare increasingly relies on relations in knowledge graph...
Breast cancer is one of the major public health issues and is considered a leading cause of cancer-r...
BACKGROUND AND OBJECTIVE: Breast cancer is a frequently diagnosed cancer in women, contributing to s...
Pathologists are responsible for cancer type diagnoses from histopathological cancer tissues. Howeve...
Deep learning methods for digital pathology analysis are an effective way to address multiple clinic...
Exercise-induced pulmonary hemorrhage (EIPH) is a common condition in sport horses with negative imp...
Advances in computerized image analysis and the use of artificial intelligence-based approaches for ...
The purpose of this study was to assess the value of radiomics features for differentiating soft ti...
Deep learning (DL) has achieved state-of-the-art performance in many digital pathology analysis task...
Recent studies have demonstrated the usefulness of convolutional neural networks (CNNs) to classify ...
Ultrasonography is widely used in the clinical diagnosis of thyroid nodules. Ultrasound images of th...
Therapeutic proteins are exposed to numerous stresses during their manufacture, shipping, storage an...
We demonstrate that prostate cancer can be identified by flow cytometric profiling of blood immune c...
BACKGROUND: Multiplex immunohistochemistry (mIHC) permits the labeling of six or more distinct cell ...
We use deep transfer learning to quantify histopathological patterns across 17,355 hematoxylin and e...
Molecular alterations in cancer can cause phenotypic changes in tumor cells and their micro-environm...
We report quantitative label-free imaging with phase and polarization (QLIPP) for simultaneous measu...
Previous studies have documented that cumulus granulosa cells (GCs) can trans-differentiation into ...
With the tremendous development of artificial intelligence, many machine learning algorithms have be...
The advantages of automatically recognition of fundamental tissues using computer vision techniques ...