Virtual reality microscope versus conventional microscope regarding time to diagnosis: an experimental study. [PDF]
, 2013 Aims: To create and evaluate a virtual reality (VR) microscope that is as efficient as the conventional microscope, seeking to support the introduction of digital slides into routine practice.
Gilbertson +7 more
core +1 more source
Platelets, immune cells and the coagulation cascade; friend or foe of the circulating tumour cell?
Molecular Cancer, 2021 Cancer cells that transit from primary tumours into the circulatory system are known as circulating tumour cells (CTCs). These cancer cells have unique phenotypic and genotypic characteristics which allow them to survive within the circulation ...
Mark P. Ward +15 more
doaj +1 more source
Tumor localization in tissue microarrays using rotation invariant superpixel pyramids [PDF]
, 2015 Tumor localization is an important component of histopathology image analysis; it has yet to be reliably automated for breast cancer histopathology. This paper investigates the use of superpixel classification to localize tumor regions.
Akbar, Shazia +3 more
core +3 more sources
Detection of immunoglobulins and complement components in formalin fixed and paraffin embedded renal biopsy material by immunoflourescence technique [PDF]
Journal of Nephropathology, 2012 Background: The technique of direct immunoflourescence (IF) is essential in the accurate diagnosis of renal glomerular diseases. The optimal results are obtained when the procedure is done on fresh frozen tissue (IF-F).
Muhammed Mubarak +3 more
doaj +1 more source
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis [PDF]
IEEE Transactions on Medical Imaging, 2019 Cancer diagnosis, prognosis, mymargin and therapeutic response predictions are based on morphological information from histology slides and molecular profiles from genomic data.
Richard J. Chen +6 more
semanticscholar +1 more source
Gallbladder Adenocarcinoma, Potential Target for Anti-Her-2 Therapy
Acta Medica Iranica, 2020 Her-2 (ErbB-2) is an oncogene frequently overexpressed in breast and gastric adenocarcinomas, and anti-Her-2 targeted therapy can be given to such patients.
Ghazi Zafar +3 more
doaj +1 more source
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification [PDF]
IEEE Transactions on Medical Imaging, 2021 Deep learning-based histopathology image classification is a key technique to help physicians in improving the accuracy and promptness of cancer diagnosis.
Chuang Zhu +4 more
semanticscholar +1 more source
Correlation of Histology of Vesiculobullous Disorders With Immunofluorescence: A Study at A Tertiary Care Centre [PDF]
National Journal of Laboratory Medicine, 2018 Introduction: Vesiculobullous disorders present with varied clinical manifestations. Vesicles and bullae are fluid filled cavities present within or beneath the epidermis.
Sarwat Fatma +3 more
doaj +1 more source
Swarm learning for decentralized artificial intelligence in cancer histopathology
Nature Network Boston, 2021 Artificial intelligence (AI) can predict the presence of molecular alterations directly from routine histopathology slides. However, training robust AI systems requires large datasets for which data collection faces practical, ethical and legal obstacles.
O. Saldanha +26 more
semanticscholar +1 more source
World Journal of Surgical Oncology, 2023 Background Breast cancer is the most common tumor in women worldwide. Diabetes mellitus is a global chronic metabolic disease with increasing incidence. Diabetes mellitus has been reported to positively regulate the development of many tumors.
Xiao Cheng +6 more
doaj +1 more source