Latest AI and machine learning research in pathology for healthcare professionals.
Bioimages frequently exhibit low signal-to-noise ratios due to experimental conditions, specimen cha...
New breast cancer biomarkers have been sought for better tumor characterization and treatment. Among...
To determine glioma grading by applying radiomic analysis or deep convolutional neural networks (DCN...
Breast cancer is the most common form of cancer and is still the second leading cause of death for w...
Lung cancer is a common malignant tumor disease with high clinical disability and death rates. Curre...
In breast cancer diagnosis, the number of mitotic cells in a specific area is an important measure. ...
Deep learning (DL) can predict microsatellite instability (MSI) from routine histopathology slides o...
BACKGROUND: Manual microscopic examination remains the golden standard for malaria diagnosis. But it...
Acute myeloid leukemia (AML) is a deadly hematological malignancy. Cellular morphology detection of ...
: To describe the predictors of cribriform variant status and perineural invasion (PNI) in robot-ass...
Renal biopsy pathology is an essential gold standard for the diagnosis of most kidney diseases. With...
One in eight men will be affected by prostate cancer (PCa) in their lives. While the current clinica...
PURPOSE: Whole-body bone scintigraphy (WBS) is one of the most widely used modalities in diagnosing ...
Differential classification of prostate cancer grade group (GG) 2 and 3 tumors remains challenging, ...
Since its first observation in the 18th century, the diffusion phenomenon has been actively studied ...
, cell-based assays are essential in diagnostics and drug development. There are ongoing efforts to ...
Artificial intelligence as a screening tool for eyelid lesions will be helpful for early diagnosis o...
Accurate segmentation in histopathology images at pixel-level plays a critical role in the digital p...
Nucleus segmentation represents the initial step for histopathological image analysis pipelines, and...
Based on the advantages of revealing the functional status and molecular expression of tumor cells, ...
objectives: Telomerase reverse transcriptase () promoter mutation, found in a subset of patients wi...