Deep interactive segmentation of medical images: A systematic review and taxonomy
Interactive segmentation is a crucial research area in medical image analysis aiming to
boost the efficiency of costly annotations by incorporating human feedback. This feedback …
boost the efficiency of costly annotations by incorporating human feedback. This feedback …
[HTML][HTML] Automated tumor segmentation in radiotherapy
Autosegmentation of gross tumor volumes holds promise to decrease clinical demand and
to provide consistency across clinicians and institutions for radiation treatment planning …
to provide consistency across clinicians and institutions for radiation treatment planning …
A systematic review of graph neural network in healthcare-based applications: Recent advances, trends, and future directions
Graph neural network (GNN) is a formidable deep learning framework that enables the
analysis and modeling of intricate relationships present in data structured as graphs. In …
analysis and modeling of intricate relationships present in data structured as graphs. In …
Link prediction based on heuristics and graph attention
Recent years have seen a surge in many deep learning research approaches to predict
links in structured network data, however, these approaches seem to falter in its applicability …
links in structured network data, however, these approaches seem to falter in its applicability …