Latest AI and machine learning research in pathology for healthcare professionals.
Thermal ablation is an acceptable alternative treatment for primary liver cancer, of which laser abl...
Triple negative (TN) breast cancer is a subtype of breast cancer which is difficult for early detect...
Training a neural network with a large labeled dataset is still a dominant paradigm in computational...
BACKGROUND AND OBJECTIVE: Recognizing different tissue components is one of the most fundamental and...
In cytological examination, suspicious cells are evaluated regarding malignancy and cancer type. To ...
Breast cancer among women is the second most common cancer worldwide. Non-invasive techniques such a...
Prostate cancer is a significant cause of morbidity and mortality in the USA. In this paper, we deve...
To compare the diagnostic performances of physicians and a deep convolutional neural network (CNN) p...
Mechanical stimulation (mechanotherapy) can promote skeletal muscle repair, but a lack of reproducib...
OBJECTIVES: To develop and test an optimized radiomics model based on multi-planar automated breast ...
Background Supplemental screening with MRI has proved beneficial in women with extremely dense breas...
Colorectal cancer (CRC) is one of the most life-threatening malignancies. Colonoscopy pathology exam...
BACKGROUND: Machine learning (ML) algorithms have been successfully employed for prediction of outco...
The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in cervix c...
Histopathologic evaluation of muscle biopsy samples is essential for classifying and diagnosing musc...
BACKGROUND AND OBJECTIVES: Advancement of the ultra-fast microscopic images acquisition and generati...
Breast cancer diagnosis is a critical step in clinical decision making, and this is achieved by maki...
In road safety, real-time crash prediction may play a crucial role in preventing such traffic events...
PURPOSE: The purpose of this study was to create a deep learning algorithm to infer the benign or ma...
Cell or nucleus detection is a fundamental task in microscopy image analysis and has recently achiev...
While high-resolution pathology images lend themselves well to 'data hungry' deep learning algorithm...