Results 81 to 90 of about 1,221,513 (328)
Prototype Guided Network for Anomaly Segmentation [PDF]
arXiv, 2022 Semantic segmentation methods can not directly identify abnormal objects in images. Anomaly Segmentation algorithm from this realistic setting can distinguish between in-distribution objects and Out-Of-Distribution (OOD) objects and output the anomaly probability for pixels.
arxiv
Boosting Semantic Segmentation with Semantic Boundaries [PDF]
arXiv, 2023 In this paper, we present the Semantic Boundary Conditioned Backbone (SBCB) framework, a simple yet effective training framework that is model-agnostic and boosts segmentation performance, especially around the boundaries. Motivated by the recent development in improving semantic segmentation by incorporating boundaries as auxiliary tasks, we propose a
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du +7 more
wiley +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
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation [PDF]
arXiv, 2023 Unsupervised semantic segmentation is a challenging task that segments images into semantic groups without manual annotation. Prior works have primarily focused on leveraging prior knowledge of semantic consistency or priori concepts from self-supervised learning methods, which often overlook the coherence property of image segments.
arxiv
A 14‐Year Study of Serum Glial Fibrillary Acidic Protein and Total Tau in Premanifest Huntington's
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT There is a pressing need for blood biomarkers that can identify Huntington's disease (HD) gene carriers' proximity to manifest disease. We previously examined serial serum neurofilament light (NfL) concentrations in 21 premanifest HD gene carriers and 14 controls over 14 years, finding that NfL demonstrates high prognostic value and distinct ...
Natalia E. Owen +8 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSemantic segmentation is a basic task in the interpretation of remote sensing images. Mainstream deep-learning-based semantic segmentation algorithms typically process images with small sizes.
Shiyan Pang +4 more
doaj +1 more source
Remote Sensing, 2023 Aerial Image Semantic segmentation based on convolution neural networks (CNNs) has made significant process in recent years. Nevertheless, their vulnerability to adversarial example attacks could not be neglected.
Zhen Wang +3 more
doaj +1 more source
Learning Dilation Factors for Semantic Segmentation of Street Scenes
, 2017 Contextual information is crucial for semantic segmentation. However, finding the optimal trade-off between keeping desired fine details and at the same time providing sufficiently large receptive fields is non trivial. This is even more so, when objects
DE Rumelhart +4 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective People with HIV (PWH) on antiretroviral therapy (ART) still experience neurocognitive dysfunction and accelerated brain volume loss. To assess whether the serotonergic and dopaminergic systems are affected, we used [11C]DASB positron emission tomography (PET) to assess presynaptic serotonergic function and [18F]FDOPA PET to measure ...
Chuen‐Yen Lau +12 more
wiley +1 more source