Latest AI and machine learning research in pathology for healthcare professionals.
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...
Classification of adenocarcinoma (AC) and squamous cell carcinoma (SCC) poses significant challenges...
A new nuclear Overhauser enhancement (NOE)-mediated saturation transfer MRI signal at -1.6 ppm, pote...
AIMS: Structured reporting in pathology is not universally adopted and extracting elements essential...
Advancements in omics technologies and artificial intelligence (AI) methodologies are fuelling our p...
BACKGROUND: Machine learning (ML) models can help assisting diagnosis by rapidly localising and clas...
BACKGROUND: Leukemia is the 11 most prevalent type of cancer worldwide, with acute myeloid leukemia ...
The potential of artificial intelligence (AI) in digital pathology is limited by technical inconsist...
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...
Urinalysis is one of the predominant tools for clinical testing owing to the abundant composition, s...
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...
Adenocarcinoma, the most prevalent type of colorectal cancer, makes up roughly 95 % of all cases and...
Fluorescence imaging has been widely used in fields like (pre)clinical imaging and other domains. Wi...
Here we present a highly customisable image-based fuzzy logic control (FLC) method for pressure-driv...