Automated contouring and planning in radiation therapy: what is 'clinically acceptable'?
Developers and users of artificial-intelligence-based tools for automatic contouring and
treatment planning in radiotherapy are expected to assess clinical acceptability of these …
treatment planning in radiotherapy are expected to assess clinical acceptability of these …
[HTML][HTML] A review of the metrics used to assess auto-contouring systems in radiotherapy
Auto-contouring could revolutionise future planning of radiotherapy treatment. The lack of
consensus on how to assess and validate auto-contouring systems currently limits clinical …
consensus on how to assess and validate auto-contouring systems currently limits clinical …
The Segment Anything foundation model achieves favorable brain tumor auto-segmentation accuracy in MRI to support radiotherapy treatment planning
F Putz, S Beirami, MA Schmidt, MS May, J Grigo… - Strahlentherapie und …, 2024 - Springer
Background Promptable foundation auto-segmentation models like Segment Anything (SA,
Meta AI, New York, USA) represent a novel class of universal deep learning auto …
Meta AI, New York, USA) represent a novel class of universal deep learning auto …
Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis
CW Chang, M Christian, DH Chang, F Lai, TJ Liu… - Plos one, 2022 - journals.plos.org
A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence.
Patients who suffer from this disease may have difficulty accessing medical care. Recently …
Patients who suffer from this disease may have difficulty accessing medical care. Recently …
Development and validation of a deep-learning model for detecting brain metastases on 3D post-contrast MRI: a multi-center multi-reader evaluation study
S Yin, X Luo, Y Yang, Y Shao, L Ma, C Lin… - Neuro …, 2022 - academic.oup.com
Background Accurate detection is essential for brain metastasis (BM) management, but
manual identification is laborious. This study developed, validated, and evaluated a BM …
manual identification is laborious. This study developed, validated, and evaluated a BM …
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation
Purpose To present results from a literature survey on practices in deep learning
segmentation algorithm evaluation and perform a study on expert quality perception of brain …
segmentation algorithm evaluation and perform a study on expert quality perception of brain …
Continual learning for peer-to-peer federated learning: A study on automated brain metastasis identification
Due to data privacy constraints, data sharing among multiple centers is restricted. Continual
learning, as one approach to peer-to-peer federated learning, can promote multicenter …
learning, as one approach to peer-to-peer federated learning, can promote multicenter …
Stratified assessment of an FDA-cleared deep learning algorithm for automated detection and contouring of metastatic brain tumors in stereotactic radiosurgery
JY Wang, V Qu, C Hui, N Sandhu, MG Mendoza… - Radiation …, 2023 - Springer
Purpose Artificial intelligence-based tools can be leveraged to improve detection and
segmentation of brain metastases for stereotactic radiosurgery (SRS). VBrain by Vysioneer …
segmentation of brain metastases for stereotactic radiosurgery (SRS). VBrain by Vysioneer …
DeSeg: auto detector-based segmentation for brain metastases
Delineation of brain metastases (BMs) is a paramount step in stereotactic radiosurgery
treatment. Clinical practice has specific expectation on BM auto-delineation that the method …
treatment. Clinical practice has specific expectation on BM auto-delineation that the method …
[HTML][HTML] Advancing equitable and personalized cancer care: Novel applications and priorities of artificial intelligence for fairness and inclusivity in the patient care …
Patient care workflows are highly multimodal and intertwined: the intersection of data
outputs provided from different disciplines and in different formats remains one of the main …
outputs provided from different disciplines and in different formats remains one of the main …