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   Articles with "detection segmentation" as a keyword



Image multi-target detection and segmentation algorithm based on regional proposed fast intelligent network

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recommendations! Published in 2018 at "Cluster Computing"

DOI: 10.1007/s10586-018-2185-0

Abstract: Due to the image multi-target detection and segmentation algorithm is constrained by the low robustness of multi-target detection, and the correlation between the target detection result and the target segmentation method is relatively weak, so… read more here.

Keywords: detection; target detection; target; detection segmentation ... See more keywords
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Brain tumor detection and segmentation using mesh-free super-diffusive model

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recommendations! Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-08374-7

Abstract: Brain tumor detection and segmentation is a complex and challenging task in image processing. Most of the techniques used for brain tumor detection and segmentation in the early stage are failed to locate a tumor… read more here.

Keywords: model; detection segmentation; brain tumor; tumor ... See more keywords

Evaluation of the effectiveness of artificial intelligence models in radiopaque and radiolucent lesions of the maxillofacial region on panoramic radiographs.

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recommendations! Published in 2025 at "Oral radiology"

DOI: 10.1007/s11282-025-00838-x

Abstract: The aim of this study is to evaluate the success of algorithms used in deep learning (DL), a technique of artificial intelligence (AI), in the classification, detection, and segmentation of radiopaque, and radiolucent lesions in… read more here.

Keywords: classification; radiolucent lesions; panoramic radiographs; radiopaque radiolucent ... See more keywords
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Deep learning–based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study

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recommendations! Published in 2020 at "EBioMedicine"

DOI: 10.1016/j.ebiom.2020.102780

Abstract: Background Accurate lymph nodes (LNs) assessment is important for rectal cancer (RC) staging in multiparametric magnetic resonance imaging (mpMRI). However, it is incredibly time-consumming to identify all the LNs in scan region. This study aims… read more here.

Keywords: detection; lymph; segmentation; deep learning ... See more keywords

Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-024-84804-3

Abstract: To develop a deep learning model using transfer learning for automatic detection and segmentation of neck lymph nodes (LNs) in computed tomography (CT) images, the study included 11,013 annotated LNs with a short-axis diameter ≥ 3 mm… read more here.

Keywords: detection; transfer learning; segmentation; lymph nodes ... See more keywords

An optimized multi-task contrastive learning framework for HIFU lesion detection and segmentation

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-99783-2

Abstract: Accurate detection and segmentation of lesions induced by High-Intensity Focused Ultrasound (HIFU) in medical imaging remain significant challenges in automated disease diagnosis. Traditional methods heavily rely on labeled data, which is often scarce, expensive, and… read more here.

Keywords: detection; framework; segmentation; lesion detection ... See more keywords

Detection and segmentation of wire rope surface deficiency based on YOLOv8 and U-Net

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad5613

Abstract: The presence of surface defects in wire ropes (WR) may lead to potential safety hazards and performance degradation, necessitating timely detection and repair. Hence, this paper proposes a method for detecting surface defects in WR… read more here.

Keywords: model; detection segmentation; surface defects; surface ... See more keywords

Deep-learning-based Detection and Segmentation-assisted Management on Brain Metastases.

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recommendations! Published in 2019 at "Neuro-oncology"

DOI: 10.1093/neuonc/noz234

Abstract: BACKGROUND Three-dimensional T1-magnetization-prepared rapid gradient-echo (3D-T1-MPRAGE) is preferred in detecting brain metastases (BMs) among MRI. We developed an automatic deep-learning-based detection and segmentation method for BMs (named BMDS net) on 3D-T1-MPRAGE images and evaluated its… read more here.

Keywords: brain metastases; detection; segmentation; bmds net ... See more keywords

Melanoma Lesion Detection and Segmentation Using YOLOv4-DarkNet and Active Contour

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3035345

Abstract: Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only 15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of disease, and metastasis expands to… read more here.

Keywords: active contour; detection segmentation; melanoma; melanoma detection ... See more keywords

Self-supervised Human Detection and Segmentation via Background Inpainting.

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recommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2021.3123902

Abstract: While supervised object detection and segmentation methods achieve impressive accuracy, they generalize poorly to images whose appearance significantly differs from the data they have been trained on. To address this when annotating data is prohibitively… read more here.

Keywords: self supervised; detection segmentation; human detection; segmentation ... See more keywords

A Two-Stream CNN With Simultaneous Detection and Segmentation for Robotic Grasping

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recommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2020.3018757

Abstract: The manipulating robots receive much attention by offering better services, where object grasping is still challenging especially under background interferences. In this article, a novel two-stream grasping convolutional neural network (CNN) with simultaneous detection and… read more here.

Keywords: segmentation; two stream; detection; cnn simultaneous ... See more keywords