Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …
of disruptive technical advances and impressive experimental results, notably in the field of …
A review of deep learning based methods for medical image multi-organ segmentation
Deep learning has revolutionized image processing and achieved the-state-of-art
performance in many medical image segmentation tasks. Many deep learning-based …
performance in many medical image segmentation tasks. Many deep learning-based …
[HTML][HTML] Clinically applicable segmentation of head and neck anatomy for radiotherapy: deep learning algorithm development and validation study
Background: Over half a million individuals are diagnosed with head and neck cancer each
year globally. Radiotherapy is an important curative treatment for this disease, but it requires …
year globally. Radiotherapy is an important curative treatment for this disease, but it requires …
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
Over half a million individuals are diagnosed with head and neck cancer each year
worldwide. Radiotherapy is an important curative treatment for this disease, but it requires …
worldwide. Radiotherapy is an important curative treatment for this disease, but it requires …
Auto‐segmentation of organs at risk for head and neck radiotherapy planning: from atlas‐based to deep learning methods
T Vrtovec, D Močnik, P Strojan, F Pernuš… - Medical …, 2020 - Wiley Online Library
Radiotherapy (RT) is one of the basic treatment modalities for cancer of the head and neck
(H&N), which requires a precise spatial description of the target volumes and organs at risk …
(H&N), which requires a precise spatial description of the target volumes and organs at risk …
Automatic segmentation of mandible from conventional methods to deep learning—a review
B Qiu, H van der Wel, J Kraeima, HH Glas… - Journal of personalized …, 2021 - mdpi.com
Medical imaging techniques, such as (cone beam) computed tomography and magnetic
resonance imaging, have proven to be a valuable component for oral and maxillofacial …
resonance imaging, have proven to be a valuable component for oral and maxillofacial …
A preliminary experience of implementing deep-learning based auto-segmentation in head and neck cancer: a study on real-world clinical cases
Y Zhong, Y Yang, Y Fang, J Wang, W Hu - Frontiers in oncology, 2021 - frontiersin.org
Purpose While artificial intelligence has shown great promise in organs-at-risk (OARs) auto
segmentation for head and neck cancer (HNC) radiotherapy, to reach the level of clinical …
segmentation for head and neck cancer (HNC) radiotherapy, to reach the level of clinical …
Is attention all you need in medical image analysis? A review.
Medical imaging is a key component in clinical diagnosis, treatment planning and clinical
trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance …
trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance …
Automatic detection and segmentation of multiple brain metastases on magnetic resonance image using asymmetric UNet architecture
Y Cao, A Vassantachart, CY Jason, C Yu… - Physics in Medicine …, 2021 - iopscience.iop.org
Detection of brain metastases is a paramount task in cancer management due both to the
number of high-risk patients and the difficulty of achieving consistent detection. In this study …
number of high-risk patients and the difficulty of achieving consistent detection. In this study …
Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis
P Liu, Y Sun, X Zhao, Y Yan - BioMedical Engineering OnLine, 2023 - Springer
Purpose The contouring of organs at risk (OARs) in head and neck cancer radiation
treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies …
treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies …