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   Articles with "instance segmentation" as a keyword



SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation

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recommendations! Published in 2024 at "European Radiology"

DOI: 10.1007/s00330-024-11155-y

Abstract: Introducing SPINEPS, a deep learning method for semantic and instance segmentation of 14 spinal structures (ten vertebra substructures, intervertebral discs, spinal cord, spinal canal, and sacrum) in whole-body sagittal T2-weighted turbo spin echo images. This… read more here.

Keywords: instance segmentation; semantic instance; instance; segmentation ... See more keywords

An open deep learning-based framework and model for tooth instance segmentation in dental CBCT

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recommendations! Published in 2025 at "Clinical Oral Investigations"

DOI: 10.1007/s00784-025-06578-w

Abstract: Current dental CBCT segmentation tools often lack accuracy, accessibility, or comprehensive anatomical coverage. To address this, we constructed a densely annotated dental CBCT dataset and developed a deep learning model, OraSeg, for tooth-level instance segmentation,… read more here.

Keywords: segmentation; instance segmentation; dental cbct; model ... See more keywords

A Novel Boundary-Guided Global Feature Fusion Module for Instance Segmentation

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recommendations! Published in 2024 at "Neural Processing Letters"

DOI: 10.1007/s11063-024-11564-6

Abstract: The task of instance segmentation is widely acknowledged as being one of the most formidable challenges in the field of computer vision. Current methods have low utilization of boundary information, especially in dense scenes with… read more here.

Keywords: instance segmentation; module; instance; segmentation ... See more keywords

CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images

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recommendations! Published in 2021 at "Computers in biology and medicine"

DOI: 10.1016/j.compbiomed.2021.104349

Abstract: Nuclei instance segmentation plays an important role in the analysis of hematoxylin and eosin (H&E)-stained images. While supervised deep learning (DL)-based approaches represent the state-of-the-art in automatic nuclei instance segmentation, annotated datasets are required to… read more here.

Keywords: cryosectioned stained; segmentation; nuclei instance; dataset ... See more keywords
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Learning Panoptic Segmentation Through Feature Discriminability

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recommendations! Published in 2022 at "Pattern Recognition"

DOI: 10.1016/j.patcog.2021.108240

Abstract: Abstract Panoptic segmentation has attracted increasing attention as a joint task of semantic and instance segmentation. However, previous works have not noticed that the different requirements for semantic and instance segmentation can lead to conflict… read more here.

Keywords: feature discriminability; segmentation; instance segmentation; instance ... See more keywords

CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery

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recommendations! Published in 2024 at "Scientific Data"

DOI: 10.1038/s41597-025-05163-w

Abstract: In laparoscopic and robotic surgery, precise tool instance segmentation is an essential technology for advanced computer-assisted interventions. Although publicly available procedures of routine surgeries exist, they often lack comprehensive annotations for tool instance segmentation. Additionally,… read more here.

Keywords: instance segmentation; instance; dataset; segmentation ... See more keywords

A dual-image fusion instance segmentation model for pavement patch detection

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recommendations! Published in 2025 at "International Journal of Pavement Engineering"

DOI: 10.1080/10298436.2025.2472857

Abstract: ABSTRACT Accurate patch detection is essential for reliable pavement condition evaluation and life cycle assessment. However, this task remains challenging due to variations in patch morphology, visual similarity to the background, and the limited availability… read more here.

Keywords: detection; instance segmentation; patch; dual image ... See more keywords

Synthetic-to-real: instance segmentation of clinical cluster cells with unlabeled synthetic training

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recommendations! Published in 2022 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btac219

Abstract: Abstract Motivation The presence of tumor cell clusters in pleural effusion may be a signal of cancer metastasis. The instance segmentation of single cell from cell clusters plays a pivotal role in cluster cell analysis.… read more here.

Keywords: cell; instance segmentation; cluster; segmentation ... See more keywords

Weakly Supervised Instance Segmentation Based on Two-Stage Transfer Learning

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2969480

Abstract: Weakly supervised instance segmentation, which could greatly decrease financial and time cost, is one of fundamental computer vision tasks. State-of-the-art methods mainly concentrate on improving the quality of generated pixel level labels, namely masks, using… read more here.

Keywords: transfer learning; instance segmentation; weakly supervised; segmentation ... See more keywords

FCENet: An Instance Segmentation Model for Extracting Figures and Captions From Material Documents

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2020.3046496

Abstract: A critical ideology of the existing Material Genome Project refers to the application of data and artificial intelligence to facilitate material innovation. The lack of data hinders the development of novel materials. The figures and… read more here.

Keywords: fcenet; instance segmentation; figures captions; captions material ... See more keywords

SIIS-SLAM: A Vision SLAM Based on Sequential Image Instance Segmentation

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2022.3187541

Abstract: Simultaneous localization and mapping (SLAM) is a fundamental function of intelligent robots. To reduce the influence of dynamic objects on SLAM in dynamic environments, this study pro-poses a visual SLAM based on sequential image segmentation,… read more here.

Keywords: siis slam; instance segmentation; slam; sequential image ... See more keywords