Results 141 to 150 of about 931,369 (334)

Adaptive Noise-Tolerant Network for Image Segmentation [PDF]

arXiv
Unlike image classification and annotation, for which deep network models have achieved dominating superior performances compared to traditional computer vision algorithms, deep learning for automatic image segmentation still faces critical challenges.
arxiv  

Some Discrete Approximations to a Variational Method for Image Segmentation [PDF]

, 1991
S. R. Kulkarni, Sanjoy K. Mitter
openalex   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Unsupervised connectivity-based thresholding segmentation of midsagittal brain MR images [PDF]

, 1998
Chulhee Lee, Shin Huh, Terence A. Ketter, Michaël Unser   +3 more
openalex   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Segmentation, registration, and measurement of shape variation via image object shape [PDF]

, 1999
Stephen M. Pizer, Daniel Fritsch, Paul A. Yushkevich, Valen E. Johnson, Edward L. Chaney   +4 more
openalex   +1 more source

Impact of bulk density assignment of bone on MRI‐based abdominal region radiotherapy planning for MR‐linac workflow

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The purpose of the present study was to evaluate the impact of bone relative electron density (rED) assignment on radiotherapy planning for the abdominal region. Methods Twenty patients who received abdominal radiotherapy using MR‐Linac and underwent magnetic resonance imaging (MRI) and computed tomography (CT) simulation were analyzed.
Kota Abe, Masato Tsuneda, Yukio Fujita, Yukinao Abe, Takashi Uno   +4 more
wiley   +1 more source

Region-based representations of image and video: segmentation tools for multimedia services [PDF]

, 1999
Philippe Salembier, Ferran Marqués
openalex   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan, Alexandra Quinn, Patrick Horsley, Joseph Chan, Maegan Stewart, Regina Bromley, Jeremy Booth   +6 more
wiley   +1 more source

A robust automatic clustering scheme for image segmentation using wavelets [PDF]

, 1996
Robert P. Porter, Nishan Canagarajah
openalex   +1 more source