Latest AI and machine learning research in pathology for healthcare professionals.
PURPOSE: Computed tomography (CT) is an effective method for detecting and characterizing lung nodul...
We propose a method to classify cardiac pathology based on a novel approach to extract image derived...
The successful early diagnosis of brain tumors plays a major role in improving the treatment outcome...
Microsatellite instability determines whether patients with gastrointestinal cancer respond exceptio...
Brain and breast tumors cause significant morbidity and mortality worldwide. Accurate and expedient ...
Autofluorescence is the emission of light by naturally occurring tissue components on the absorption...
Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwid...
Dual-energy chest radiography (DECR) is a medical imaging technology that can improve diagnostic acc...
This study presents a platform for ex-vivo detection of cancer nodules, addressing automation of med...
We suggest a novel method to classify the type of tissue that is being ablated, using the recorded a...
PURPOSE: Precise placement of needles is a challenge in a number of clinical applications such as br...
The uncontrollable growth of cells in the breast tissue causes breast cancer which is the second mos...
PURPOSE: Transrectal ultrasound (TRUS) is a versatile and real-time imaging modality that is commonl...
PURPOSE: The gold standard for colorectal cancer metastases detection in the peritoneum is histologi...
Parkinson's disease (PD) is a common neurodegenerative disorder. It has a delitescent onset and a sl...
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue...
The safety and public health during nuclear power plant operation can be enhanced by accurately reco...
BACKGROUND: The aim of this meta-analysis was to determine whether transanal total mesorectal excisi...
BACKGROUND: Current automated cervical cytology screening systems require purchase of a dedicated pr...
The way we categorise and classify cancer types dictates not only the way we diagnose and treat pati...
AIMS: Machine learning (ML) binary classification in diagnostic histopathology is an area of intense...