Head and neck tumor differential diagnosis and prognosis have always been a challenge for
oral pathologists due to their similarities and complexity. Artificial intelligence novel …

Histopathology is a vital diagnostic discipline in medicine, fundamental to our
understanding, detection, assessment and treatment of conditions such as cancer, dementia …

Background Pathological complete response (pCR) is associated with favorable prognosis
in patients with triple-negative breast cancer (TNBC). However, only 30–40% of TNBC …

Comprehensively analyzing the corresponding regions in the images of serial slices stained
using different methods is a common but important operation in pathological diagnosis. To …

This paper presents an autoencoder-based neural network architecture to compress
histopathological images while retaining the denser and more meaningful representation of …

Multi-modal histological image registration tasks pose significant challenges due to tissue
staining operations causing partial loss and folding of tissue. Convolutional neural network …

Till date, histopathological examination of concerned tissue by light microscopy is
considered to be the gold standard and most acceptable method for the final diagnosis of …

Business process management is oriented towards improving processes to best support
people, who are working in them. Recent innovations in the area of artificial intelligence (AI) …

Immunophenotyping via multi-marker assays significantly contributes to patient selection,
therapeutic monitoring, biomarker discovery, and personalized treatments. Despite its …

Personalized medicine is a rapidly growing field in healthcare that aims to customize
medical treatments and preventive measures based on each patient's unique …