Latest AI and machine learning research in pathology for healthcare professionals.
Artificial intelligence (AI) application in gastroenterology has grown in the last decade and contin...
The development of deep learning algorithms has transformed medical image analysis, especially in br...
Thyroid tissue is sensitive to the effects of endocrine disrupting substances, and this represents a...
OBJECTIVE: In clinical practice, diagnosing the benignity and malignancy of solid-component-predomin...
BACKGROUND: Leukemia is the 11 most prevalent type of cancer worldwide, with acute myeloid leukemia ...
The tumor microenvironment plays a critical role in cancer progression and therapeutic responsivenes...
Data scarcity in medical images makes transfer learning a common approach in computer-aided diagnosi...
Skin cancer is considered globally as the most fatal disease. Most likely all the patients who recei...
Polysorbate 20 (PS20) is commonly used as an excipient in therapeutic protein formulations. However,...
To decrease the number of chronic kidney disease (CKD), early diagnosis of diabetic kidney disease i...
Butterfly wing patterns exhibit notable differences between the dorsal and ventral surfaces, and mor...
Deep multiple instance learning (MIL) pipelines are the mainstream weakly supervised learning method...
Here we present a highly customisable image-based fuzzy logic control (FLC) method for pressure-driv...
Fluorescence imaging has been widely used in fields like (pre)clinical imaging and other domains. Wi...
Serum levels of the tumor marker CA 19-9 are widely utilized in the diagnosis and monitoring pancrea...
In the context of chronic liver diseases, where variability in progression necessitates early and pr...
BACKGROUND AND OBJECTIVES: Accurate classification of lymphadenopathy is essential for determining t...
Early detection of bovine mastitis-causing pathogens is necessary for treatment. As culturing method...
Recently, as the number of cancer patients has increased, much research is being conducted for effic...
Deep learning (DL) methods have demonstrated remarkable effectiveness in assisting with lung cancer ...
RATIONALE AND OBJECTIVES: In the USA over 1 million breast biopsies are performed annually. Approxim...