Latest AI and machine learning research in pathology for healthcare professionals.
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...
BACKGROUND: Deep learning (DL) has set new standards in cancer diagnosis, significantly enhancing th...
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...
Colorectal cancer (CRC) is considered one of the most deadly cancer types nowadays. It is rapidly in...
In this paper, a two-stage task weakly supervised learning algorithm is proposed. It accurately achi...
PURPOSE: To create a system to enable the identification of histological variants of bladder cancer ...
To create a diagnostic tool before biopsy for patients with prostate-specific antigen (PSA) levels <...
Thyroid nodules are a very common entity. The overall prevalence in the populace is estimated to be ...
Gram staining has been a frequently used staining protocol in microbiology. It is vulnerable to stai...
Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective ...
PROBLEM: Breast cancer is a leading cause of death among women, and early detection is crucial for i...
Ultrasound localization microscopy (ULM) overcomes the acoustic diffraction limit by localizing tiny...
Ultrasound localization microscopy (ULM) is a novel super-resolution imaging technique that can imag...
Accurate assessment of spinal cord vasculature is important for the urgent diagnosis of injury and s...
Histopathological analysis of whole slide images (WSIs) has seen a surge in the utilization of deep ...
Industry 4.0 represents the fourth industrial revolution, which is characterized by the incorporatio...
In the domain of histopathology analysis, existing representation learning methods for biomarkers pr...
Accurate semantic segmentation of histopathological images plays a crucial role in accurate cancer d...