Deep learning in medical image registration: a review
This paper presents a review of deep learning (DL)-based medical image registration
methods. We summarized the latest developments and applications of DL-based registration …
methods. We summarized the latest developments and applications of DL-based registration …
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] The promise of artificial intelligence and deep learning in PET and SPECT imaging
This review sets out to discuss the foremost applications of artificial intelligence (AI),
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN
Purpose Accurate and timely organs‐at‐risk (OARs) segmentation is key to efficient and
high‐quality radiation therapy planning. The purpose of this work is to develop a deep …
high‐quality radiation therapy planning. The purpose of this work is to develop a deep …
CBCT‐based synthetic CT generation using deep‐attention cycleGAN for pancreatic adaptive radiotherapy
Purpose Current clinical application of cone‐beam CT (CBCT) is limited to patient setup.
Imaging artifacts and Hounsfield unit (HU) inaccuracy make the process of CBCT‐based …
Imaging artifacts and Hounsfield unit (HU) inaccuracy make the process of CBCT‐based …
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 …
Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net
Purpose Transrectal ultrasound (TRUS) is a versatile and real‐time imaging modality that is
commonly used in image‐guided prostate cancer interventions (eg, biopsy and …
commonly used in image‐guided prostate cancer interventions (eg, biopsy and …
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN
Purpose Automatic breast ultrasound (ABUS) imaging has become an essential tool in
breast cancer diagnosis since it provides complementary information to other imaging …
breast cancer diagnosis since it provides complementary information to other imaging …
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
site uses cookies. By continuing to use this site you agree to our use of cookies. To find out …
site uses cookies. By continuing to use this site you agree to our use of cookies. To find out …