Going deep in medical image analysis: concepts, methods, challenges, and future directions
Medical image analysis is currently experiencing a paradigm shift due to deep learning. This
technology has recently attracted so much interest of the Medical Imaging Community that it …
technology has recently attracted so much interest of the Medical Imaging Community that it …
HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs
Cochlear implants (CIs) are used to treat subjects with hearing loss. In a CI surgery, an
electrode array is inserted into the cochlea to stimulate auditory nerves. After surgery, CIs …
electrode array is inserted into the cochlea to stimulate auditory nerves. After surgery, CIs …
Improving rehabilitation of deaf patients by advanced imaging before cochlear implantation
R Quatre, S Schmerber, A Attyé - Journal of Neuroradiology, 2024 - Elsevier
Introduction Cochlear implants have advanced the management of severe to profound
deafness. However, there is a strong disparity in hearing performance after implantation …
deafness. However, there is a strong disparity in hearing performance after implantation …
Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training data
Cochlear implants (CIs) use electrode arrays that are surgically inserted into the cochlea to
treat patients with hearing loss. For CI recipients, sound bypasses the natural transduction …
treat patients with hearing loss. For CI recipients, sound bypasses the natural transduction …
Machine Learning-Based Techniques For Automating Image-Guided Cochlear Implant Programming
D Zhang - 2019 - search.proquest.com
Abstract Cochlear Implants (CIs) are neural prosthetics that are used to treat patients with
profound hearing loss. In surgery, an electrode array is threaded into the cochlea. Post …
profound hearing loss. In surgery, an electrode array is threaded into the cochlea. Post …
Deep learning augmentation for medical image analysis
F Altaf - 2022 - ro.ecu.edu.au
Deep learning is at the center of the current rise of computer aided diagnosis in medical
imaging. This technology has the ability to mimic extremely complex mathematical functions …
imaging. This technology has the ability to mimic extremely complex mathematical functions …
Localization and labeling of cervical vertebral bones in the micro-CT images of rabbit fetuses using a 3D deep convolutional neural network
In developmental and reproductive toxicology (DART) studies, high-throughput micro-CT
imaging of Dutch-Belted rabbit fetuses has been used as a method for the assessment of …
imaging of Dutch-Belted rabbit fetuses has been used as a method for the assessment of …
Automated localization and segmentation of vertebrae in the micro-CT images of rabbit fetuses using 3D Convolutional Neural Networks
In the pharmaceutical industry, micro-CT images of Dutch-Belted rabbit fetuses have been
used for the assessment of compound-induced skeletal abnormalities in developmental and …
used for the assessment of compound-induced skeletal abnormalities in developmental and …
Preoperative Surgical Planning
JL Fauser - 2020 - diglib.eg.org
Since several decades, minimally-invasive surgery has continuously improved both clinical
workflow and outcome. Such procedures minimize patient trauma, decrease hospital stay or …
workflow and outcome. Such procedures minimize patient trauma, decrease hospital stay or …