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 …
Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods
The rapid expansion of machine learning is offering a new wave of opportunities for nuclear
medicine. This paper reviews applications of machine learning for the study of attenuation …
medicine. This paper reviews applications of machine learning for the study of attenuation …
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 …
3D multi-attention guided multi-task learning network for automatic gastric tumor segmentation and lymph node classification
Automatic gastric tumor segmentation and lymph node (LN) classification not only can assist
radiologists in reading images, but also provide image-guided clinical diagnosis and …
radiologists in reading images, but also provide image-guided clinical diagnosis and …
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 …
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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The impact of artificial intelligence in the odyssey of rare diseases
Emerging machine learning (ML) technologies have the potential to significantly improve the
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …
CT‐based multi‐organ segmentation using a 3D self‐attention U‐net network for pancreatic radiotherapy
Purpose Segmentation of organs‐at‐risk (OARs) is a weak link in radiotherapeutic treatment
planning process because the manual contouring action is labor‐intensive and time …
planning process because the manual contouring action is labor‐intensive and time …
[HTML][HTML] Deep learning for automatic target volume segmentation in radiation therapy: a review
Deep learning, a new branch of machine learning algorithm, has emerged as a fast growing
trend in medical imaging and become the state-of-the-art method in various clinical …
trend in medical imaging and become the state-of-the-art method in various clinical …