Latest AI and machine learning research in pathology for healthcare professionals.
Shoulder X-ray images typically have low contrast and high noise levels, making it challenging to di...
Breast cancer affects a significant number of patients worldwide, and early diagnosis is critical fo...
BACKGROUND: Magnetic resonance imaging (MRI) is a highly sensitive modality for diagnosing breast ca...
Citrullination is a critical yet understudied post-translational modification (PTM) implicated in va...
The benign and malignant discrimination of pulmonary nodules plays a very important role in diagnosi...
BACKGROUND: Early diagnosis of depression is crucial, and speech-based early diagnosis of depression...
Quantification of tissue stiffness with magnetic resonance elastography (MRE) is an inverse problem ...
To further reduce atmospheric particulate matter concentrations, there is a need for a more precise ...
Understanding molecular dynamics at the nanoscale remains challenging due to limitations in the temp...
BACKGROUND: Tumour vascular density assessed from CD-31 immunohistochemistry (IHC) images has previo...
Gastric cancer (GC) is one of the most common tumors; one of the reasons for its poor prognosis is t...
Accurate and precise identification of cholelithiasis is essential for saving the lives of millions ...
Thyroid nodules are a common endocrine condition, and accurate differentiation between benign and ma...
In prostate cancer (PCa), risk calculators have been proposed, relying on clinical parameters and ma...
Colorectal cancer (CRC) is the second popular cancer in females and third in males, with an increase...
Semantic segmentation of electron microscopy (EM) images is crucial for nanoscale analysis. With the...
Colorectal cancer plays a dominant role in cancer-related deaths, primarily due to the absence of ob...
In clinical practice, frozen section (FS) images can be utilized to obtain the immediate pathologica...
Histopathological image segmentation is a laborious and time-intensive task, often requiring analysi...
BACKGROUND: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidenc...
RATIONALE AND OBJECTIVES: To develop and validate a machine learning-based prediction model for the ...