Latest AI and machine learning research in pathology for healthcare professionals.
Recently, Raman Spectroscopy (RS) was demonstrated to be a non-destructive way of cancer diagnosis, ...
Histological stratification in metastatic non-small cell lung cancer (NSCLC) is essential to properl...
Despite recent progress in the characterization of tumour components, the tri-dimensional (3D) organ...
Developing new treatments for emerging infectious diseases in infectious and noninfectious diseases ...
Pathologists use multiple microscopy modalities to assess renal biopsy specimens. Besides usual diag...
COVID-19 is a transferable disease that is also a leading cause of death for a large number of peopl...
Breast cancer is the most common invasive cancer with the highest cancer occurrence in females. Hand...
Molecular biomarkers are certain molecules or set of molecules that can be of help for diagnosis or ...
. Robustness is an important aspect to consider, when developing methods for medical image analysis....
Prognostication is critical for accurate diagnosis and tailored treatment in endometrial cancer (EC)...
Intraoperative confirmation of negative resection margins is an essential component of soft tissue s...
Medical imaging provides a comprehensive perspective and rich information for disease diagnosis. Com...
BACKGROUND AND OBJECTIVES: The prognosis of patients undergoing kidney tumor resection or kidney don...
INTRODUCTION: Modern image-guided biopsy pathways at diagnostic centres have greatly refined the inv...
Prostate cancer treatment planning is largely dependent upon examination of core-needle biopsies. Th...
Suboptimal generalization of machine learning models on unseen data is a key challenge which hampers...
PURPOSE: Fully automated abdominal adipose tissue segmentation from computed tomography (CT) scans p...
BACKGROUND: A combination of endoscopic and histological evaluation is important in the management o...
Breast cancer is the most common type of cancer among women worldwide. Traditional treatments, incl...
BACKGROUND: Machine learning (ML) prepares and trains a model through supervised or unsupervised lea...
Excessive tissue-instrument interaction forces during robotic surgery have the potential for causing...