Risk-aware survival time prediction from whole slide pathological images
Deep-learning-based survival prediction can assist doctors by providing additional
information for diagnosis by estimating the risk or time of death. The former focuses on …
information for diagnosis by estimating the risk or time of death. The former focuses on …
Integration of patch features through self-supervised learning and transformer for survival analysis on whole slide images
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 …
treatment of diseases and patient care. Previous methods usually extract and process only …
TSDLPP: a novel two-stage deep learning framework for prognosis prediction based on whole slide histopathological images
Y Liu, A Li, J Liu, G Meng… - IEEE/ACM Transactions on …, 2021 - ieeexplore.ieee.org
Recently, digital pathology image-based prognosis prediction has become a hot topic in
healthcare research to make early decisions on therapy and improve the treatment quality of …
healthcare research to make early decisions on therapy and improve the treatment quality of …
Hybrid aggregation network for survival analysis from whole slide histopathological images
Understanding of prognosis and mortality is crucial for evaluating the treatment plans for
patients. Recent developments of digital pathology and deep learning bring the possibility of …
patients. Recent developments of digital pathology and deep learning bring the possibility of …
Survival prediction using deep learning
A Tarkhan, N Simon, T Bengtsson… - Survival Prediction …, 2021 - proceedings.mlr.press
In many biomedical applications, outcome is measured as a “time-to-event”(eg, time-to-
disease progression or death). Cox proportional hazards (CoxPH) model has been widely …
disease progression or death). Cox proportional hazards (CoxPH) model has been widely …
[HTML][HTML] Dual-stream multi-dependency graph neural network enables precise cancer survival analysis
Histopathology image-based survival prediction aims to provide a precise assessment of
cancer prognosis and can inform personalized treatment decision-making in order to …
cancer prognosis and can inform personalized treatment decision-making in order to …
Graph CNN for survival analysis on whole slide pathological images
Deep neural networks have been used in survival prediction by providing high-quality
features. However, few works have noticed the significant role of topological features of …
features. However, few works have noticed the significant role of topological features of …
Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images
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 …
patients. Advances in digital pathology and deep learning techniques have made it practical …
Explainable survival analysis with convolution-involved vision transformer
Y Shen, L Liu, Z Tang, Z Chen, G Ma, J Dong… - Proceedings of the …, 2022 - ojs.aaai.org
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 …
cancer patients. With the advance of digital pathology technologies, the big whole slide …
Wsisa: Making survival prediction from whole slide histopathological images
Image-based precision medicine techniques can be used to better treat cancer patients.
However, the gigapixel resolution of Whole Slide Histopathological Images (WSIs) makes …
However, the gigapixel resolution of Whole Slide Histopathological Images (WSIs) makes …