Latest AI and machine learning research in pathology for healthcare professionals.
Atomic force microscopy (AFM) and other forms of scanning probe microscopy have been successfully us...
The goal of this study was to devise a machine learning methodology as a viable low-cost alternative...
PURPOSE: We propose a systematic approach to correlate MRI and digital histopathology in prostate.
OBJECTIVE: Sentinel lymph node biopsy can be applied by using either blue dye or radionuclide method...
A 37- year-old man with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) w...
Ichthyotoxic Karlodinium veneficum has become a persistent problem in the eutrophic Swan River Estua...
In the analysis of histopathological images, both holistic (e.g., architecture features) and local a...
Accurate identification of breast tissue's dynamic behavior in physical examination is critical to s...
A liquid chromatography-high resolution mass spectrometry (LC-HRMS) method was developed and validat...
BACKGROUND: Cachexia is a systemic syndrome leading to body wasting, systemic inflammation, and to m...
Sequential dissection is a technique used to investigate loads experienced by articular tissues. Whe...
OBJECTIVE: The purpose of this study is to quantify computerized calcification features from ultraso...
BACKGROUND: A concentration of specimen is recommended for the effective recovery of Mycobacterium t...
Laparoscopic resection of liver tumors located in the posterosuperior segments is a challenging oper...
In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ...
This study investigates the efficacy of benign prostatic hyperplasia (BPH) treatment by prostate tra...
OBJECT: Frame-based stereotactic interventions are considered the gold standard for brain biopsies, ...
The development of realistic neuroanatomical models of peripheral nerves for simulation purposes req...
The histopathological examination of tissue specimens is necessary for the diagnosis and grading of ...
Focal cortical dysplasia (FCD) is the most common cause of pediatric epilepsy and the third most com...
Multiparametric medical imaging data can be large and are often complex. Machine learning algorithms...