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 …
Knowledge‐based radiation treatment planning: a data‐driven method survey
This paper surveys the data‐driven dose prediction methods investigated for knowledge‐
based planning (KBP) in the last decade. These methods were classified into two major …
based planning (KBP) in the last decade. These methods were classified into two major …
[HTML][HTML] Clinical implementation of artificial intelligence-driven cone-beam computed tomography-guided online adaptive radiotherapy in the pelvic region
Background and purpose Studies have demonstrated the potential of online adaptive
radiotherapy (oART). However, routine use has been limited due to resource demanding …
radiotherapy (oART). However, routine use has been limited due to resource demanding …
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 …
Head and neck multi‐organ auto‐segmentation on CT images aided by synthetic MRI
Purpose Because the manual contouring process is labor‐intensive and time‐consuming,
segmentation of organs‐at‐risk (OARs) is a weak link in radiotherapy treatment planning …
segmentation of organs‐at‐risk (OARs) is a weak link in radiotherapy treatment planning …
[HTML][HTML] Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT
In radiation therapy, a CT image is used to manually delineate the organs and plan the
treatment. During the treatment, a cone beam CT (CBCT) is often acquired to monitor the …
treatment. During the treatment, a cone beam CT (CBCT) is often acquired to monitor the …
Deformable MR‐CBCT prostate registration using biomechanically constrained deep learning networks
Background and purpose Radiotherapeutic dose escalation to dominant intraprostatic
lesions (DIL) in prostate cancer could potentially improve tumor control. The purpose of this …
lesions (DIL) in prostate cancer could potentially improve tumor control. The purpose of this …
Contour-aware network with class-wise convolutions for 3D abdominal multi-organ segmentation
H Gao, M Lyu, X Zhao, F Yang, X Bai - Medical Image Analysis, 2023 - Elsevier
Accurate delineation of multiple organs is a critical process for various medical procedures,
which could be operator-dependent and time-consuming. Existing organ segmentation …
which could be operator-dependent and time-consuming. Existing organ segmentation …
Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation
Accurate and robust segmentation of lung cancers from CT, even those located close to
mediastinum, is needed to more accurately plan and deliver radiotherapy and to measure …
mediastinum, is needed to more accurately plan and deliver radiotherapy and to measure …
Male pelvic multi‐organ segmentation on transrectal ultrasound using anchor‐free mask CNN
Purpose Current prostate brachytherapy uses transrectal ultrasound images for implant
guidance, where contours of the prostate and organs‐at‐risk are necessary for treatment …
guidance, where contours of the prostate and organs‐at‐risk are necessary for treatment …