The Transformer-based methods provide a good opportunity for modeling the global context
of gigapixel whole slide image (WSI), however, there are still two main problems in applying …

Understanding prognosis and mortality is critical for evaluating the treatment plan of
patients. Advances in digital pathology and deep learning techniques have made it practical …

Survival prediction using whole slide images (WSIs) can provide guidance for better
treatment of diseases and patient care. Previous methods usually extract and process only …

Cancer survival prediction requires considering not only the biological morphology but also
the contextual interactions of tumor and surrounding tissues. The major limitation of previous …

Image-based survival prediction models can facilitate doctors in diagnosing and treating
cancer patients. With the advance of digital pathology technologies, the big whole slide …

Survival models based on whole slide images (WSIs) are widely used in precision medicine
to treat cancer patients better. Most previous studies attempted to address the challenge of …

In digital pathology, whole-slide images (WSIs) are widely used for applications such as
cancer diagnosis and prognosis prediction. Vision transformer (ViT) models have recently …

Image-based precision medicine research is able to help doctors make better decisions on
treatments. Among all kinds of medical images, a special form is called Whole Slide Image …

Recent deep learning techniques have shown promising performance on survival prediction
from Whole Slide Images (WSIs). These methods are often based on multiple-step …

The emergence of deep learning in the medical field has popularized the development of
models to predict survival outcomes from histopathology images in precision oncology …