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 …
Artificial intelligence: reshaping the practice of radiological sciences in the 21st century
Advances in computing hardware and software platforms have led to the recent resurgence
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …
Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy
In radiotherapy for cancer patients, an indispensable process is to delineate organs-at-risk
(OARs) and tumors. However, it is the most time-consuming step as manual delineation is …
(OARs) and tumors. However, it is the most time-consuming step as manual delineation is …
Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network
Background and purpose Manual contouring is labor intensive, and subject to variations in
operator knowledge, experience and technique. This work aims to develop an automated …
operator knowledge, experience and technique. This work aims to develop an automated …
CT prostate segmentation based on synthetic MRI‐aided deep attention fully convolution network
Purpose Accurate segmentation of the prostate on computed tomography (CT) for treatment
planning is challenging due to CT's poor soft tissue contrast. Magnetic resonance imaging …
planning is challenging due to CT's poor soft tissue contrast. Magnetic resonance imaging …
Male pelvic multi-organ segmentation aided by CBCT-based synthetic MRI
Male pelvic multi-organ segmentation aided by CBCT-based synthetic MRI - IOPscience This
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AUNet: attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms
Mammography is one of the most commonly applied tools for early breast cancer screening.
Automatic segmentation of breast masses in mammograms is essential but challenging due …
Automatic segmentation of breast masses in mammograms is essential but challenging due …
Male pelvic multi-organ segmentation using token-based transformer Vnet
Objective. This work aims to develop an automated segmentation method for the prostate
and its surrounding organs-at-risk in pelvic computed tomography to facilitate prostate …
and its surrounding organs-at-risk in pelvic computed tomography to facilitate prostate …
[HTML][HTML] Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network
Z Liu, X Liu, B Xiao, S Wang, Z Miao, Y Sun, F Zhang - Physica Medica, 2020 - Elsevier
Purpose We introduced and evaluated an end-to-end organs-at-risk (OARs) segmentation
model that can provide accurate and consistent OARs segmentation results in much less …
model that can provide accurate and consistent OARs segmentation results in much less …
Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer
C Shen, Y Gonzalez, P Klages, N Qin… - Physics in Medicine …, 2019 - iopscience.iop.org
Inverse treatment planning in radiation therapy is formulated as solving optimization
problems. The objective function and constraints consist of multiple terms designed for …
problems. The objective function and constraints consist of multiple terms designed for …