Results 111 to 120 of about 758,831 (346)
, 2019 Mechanical strain and stress play a major role in biological processes such as wound healing or morphogenesis. To assess this role quantitatively, fixed or live images of tissues are acquired at a cellular precision in large fields of views.
Delanoë-Ayari, H. +5 more
core +1 more source
Learning Panoptic Segmentation from Instance Contours [PDF]
arXiv, 2020 Panoptic Segmentation aims to provide an understanding of background (stuff) and instances of objects (things) at a pixel level. It combines the separate tasks of semantic segmentation (pixel level classification) and instance segmentation to build a single unified scene understanding task.
arxiv
Semi‐automated hippocampal avoidance whole‐brain radiotherapy planning
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background Hippocampal avoidance whole‐brain radiotherapy (HA‐WBRT) is designed to spare cognitive function by reducing radiation dose to the hippocampus during the treatment of brain metastases. Current manual planning methods can be time‐consuming and may vary in quality, necessitating the development of automated approaches to streamline ...
Dong Joo Rhee +9 more
wiley +1 more source
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting
, 2015 In this paper, we propose a novel geometric model fitting method, called Mode-Seeking on Hypergraphs (MSH),to deal with multi-structure data even in the presence of severe outliers. The proposed method formulates geometric model fitting as a mode seeking
Suter, David +3 more
core +1 more source
International Journal of Applied Earth Observations and Geoinformation, 2021 Although many notable improvements have been devoted to the semantic segmentation of laser scanning (LS) data, the extreme complexity of scanned scenes poses significant challenges in achieving the effective distribution of a category label per point ...
Tengping Jiang +5 more
doaj
IEEE Access, 2018 For large-scale medical images, automatic pulmonary vessel segmentation is a fundamental and essential research for various pulmonary disease diagnoses.
Yajun Xu +3 more
doaj +1 more source
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model [PDF]
arXiv, 2023 Segmentation quality assessment (SQA) plays a critical role in the deployment of a medical image based AI system. Users need to be informed/alerted whenever an AI system generates unreliable/incorrect predictions. With the introduction of the Segment Anything Model (SAM), a general foundation segmentation model, new research opportunities emerged in ...
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) has become subject of recent interest due to the ability to produce virtual monoenergetic images (VMIs) with improved soft‐tissue contrast and reduced nonuniformity artifacts. However, efficient production and optimization of VMIs remains an under‐explored part of DE‐CBCT's application.
Andrew Keeler +4 more
wiley +1 more source
IEEE Access, 2019 In the task of using deep learning semantic segmentation model to extract water from high-resolution remote sensing images, multiscale feature sensing and extraction have become critical factors that affect the accuracy of image classification tasks.
Ziyao Li +4 more
doaj +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien +8 more
wiley +1 more source