The advent of whole slide imaging has brought advanced computer-aided diagnosis via
medical imaging and artificial intelligence technologies in digital pathology. The …

Breast cancer is predominantly seen in women and is the leading cause of death in females
worldwide. Diagnosis of breast cancer using biopsy tissue images is expensive, time …

Biometric measurements in fetal ultrasound images are one of the most highly demanding
medical image analysis tasks that can directly contribute to diagnosing fetal diseases …

Submucosal invasion depth is a significant prognostic factor when assessing lymph node
metastasis and cancer itself to plan proper treatment for the patient. Conventionally …

Nowadays, virtual reality is a new and rapidly developing technology that provides the
opportunity for a new, more immersive form of data visualization. Evaluating digitized …

Local feature matching has been a critical task in computer vision applications. In the early
days of computer vision, local feature matching relied heavily on detector-based methods …

Abstract Background and Objective Histopathological image registration is an essential
component in digital pathology and biomedical image analysis. Deep-learning-based …

For routine pathology diagnosis and imaging-based biomedical research, Whole-slide
image (WSI) analyses have been largely limited to a 2D tissue image space. For a more …

This paper studies a convolutional masked image modeling approach for boosting
downstream dense prediction tasks on pathology images. Our method is self-supervised …

Matching whole slide histopathology images to provide comprehensive information on
homologous tissues is beneficial for cancer diagnosis. However, the challenge arises with …