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 …
Machine learning for medical ultrasound: status, methods, and future opportunities
Ultrasound (US) imaging is the most commonly performed cross-sectional diagnostic
imaging modality in the practice of medicine. It is low-cost, non-ionizing, portable, and …
imaging modality in the practice of medicine. It is low-cost, non-ionizing, portable, and …
Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
Purpose Reliable automated segmentation of the prostate is indispensable for image‐
guided prostate interventions. However, the segmentation task is challenging due to …
guided prostate interventions. However, the segmentation task is challenging due to …
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 …
Deep attentive features for prostate segmentation in 3D transrectal ultrasound
Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential
importance for image-guided prostate interventions and treatment planning. However …
importance for image-guided prostate interventions and treatment planning. However …
A review of artificial intelligence in prostate cancer detection on imaging
I Bhattacharya, YS Khandwala… - … advances in urology, 2022 - journals.sagepub.com
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …
Medical image registration using unsupervised deep neural network: A scoping literature review
S Abbasi, M Tavakoli, HR Boveiri, MAM Shirazi… - … Signal Processing and …, 2022 - Elsevier
In medicine, image registration is vital in image-guided interventions and other clinical
applications. However, it is a difficult subject to be addressed which by the advent of …
applications. However, it is a difficult subject to be addressed which by the advent of …
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study
Prostate biopsy and image-guided treatment procedures are often performed under the
guidance of ultrasound fused with magnetic resonance images (MRI). Accurate image fusion …
guidance of ultrasound fused with magnetic resonance images (MRI). Accurate image fusion …
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images
Ultrasound-guided injection is widely used to help anesthesiologists perform anesthesia in
peripheral nerve blockade (PNB). However, it is a daunting task to accurately identify nerve …
peripheral nerve blockade (PNB). However, it is a daunting task to accurately identify nerve …
Segmentation of prostate ultrasound images: the state of the art and the future directions of segmentation algorithms
Nowadays, prostate cancer has surpassed lung cancer as the most common type of cancer,
segmentation of prostate ultrasound images is a critical step in the detection and planning …
segmentation of prostate ultrasound images is a critical step in the detection and planning …