Deep interactive segmentation of medical images: A systematic review and taxonomy

Z Marinov, PF Jäger, J Egger, J Kleesiek… - IEEE transactions on …, 2024 - ieeexplore.ieee.org
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 …

[HTML][HTML] Automated tumor segmentation in radiotherapy

RR Savjani, M Lauria, S Bose, J Deng, Y Yuan… - Seminars in radiation …, 2022 - Elsevier
Autosegmentation of gross tumor volumes holds promise to decrease clinical demand and
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

SG Paul, A Saha, MZ Hasan, SRH Noori… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

Link prediction based on heuristics and graph attention

IB Ababio, J Chen, Y Chen… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
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 …