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   Articles with "nuclei segmentation" as a keyword



Multi‐atlas thalamic nuclei segmentation on standard T1‐weighed MRI with application to normal aging

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recommendations! Published in 2022 at "Human Brain Mapping"

DOI: 10.1002/hbm.26088

Abstract: Specific thalamic nuclei are implicated in healthy aging and age‐related neurodegenerative diseases. However, few methods are available for robust automated segmentation of thalamic nuclei. The threefold aims of this study were to validate the use… read more here.

Keywords: thalamic nuclei; nuclei segmentation; age; standard ... See more keywords

ConvNext Mixer‐Based Encoder Decoder Method for Nuclei Segmentation in Histopathology Images

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recommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.23181

Abstract: Histopathology, vital in diagnosing medical conditions, especially in cancer research, relies on analyzing histopathology images (HIs). Nuclei segmentation, a key task, involves precisely identifying cell nuclei boundaries. Manual segmentation by pathologists is time‐consuming, prompting the… read more here.

Keywords: cnm model; histopathology images; segmentation; convnext mixer ... See more keywords

Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images

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recommendations! Published in 2022 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-021-11873-1

Abstract: To improve the process of diagnosis and treatment of cancer disease, automatic segmentation of haematoxylin and eosin (H & E) stained cell nuclei from histopathology images is the first step in digital pathology. The proposed… read more here.

Keywords: histopathology; nuclei segmentation; segmentation; encoder decoder ... See more keywords

Integrating deep convolutional neural networks with marker-controlled watershed for overlapping nuclei segmentation in histopathology images

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.09.083

Abstract: Abstract Nuclei segmentation in histopathology images plays a crucial role in the morphological quantitative analysis of tissue structure and has become a hot research topic. Though numerous efforts have been tried in this research area,… read more here.

Keywords: segmentation; histopathology; controlled watershed; nuclei segmentation ... See more keywords

Deep Residual Network With Integrated StarDist Nuclei Segmentation for Papillary Thyroid Cancer Identification: A Pathologist-Inspired Approach

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3584941

Abstract: Papillary Thyroid Carcinoma (PTC) is the most frequently occurring type of thyroid cancer. Diagnosing PTC using histopathological imaging as the gold standard in clinical practice remains challenging. The rise of Artificial Intelligence (AI) has accelerated… read more here.

Keywords: cancer; deep residual; segmentation; nuclei segmentation ... See more keywords

DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions

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recommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2024.3515467

Abstract: Weakly supervised segmentation methods have garnered considerable attention due to their potential to alleviate the need for labor-intensive pixel-level annotations during model training. Traditional weakly supervised nuclei segmentation approaches typically involve a two-stage process: pseudo-label… read more here.

Keywords: task; supervised nuclei; domain adaptive; segmentation ... See more keywords

A Weakly Supervised Method With Colorization for Nuclei Segmentation Using Point Annotations

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recommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2023.3265124

Abstract: Nuclei segmentation is an essential step in the automatic analysis of histopathology images. This segmentation task requires much work to manually generate accurate pixel-level annotations for fully supervised training. To overcome such expensive and hard-to-get… read more here.

Keywords: nuclei segmentation; weakly supervised; task; point annotations ... See more keywords

BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels

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recommendations! Published in 2024 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2024.3355068

Abstract: Nuclei segmentation is a fundamental prerequisite in the digital pathology workflow. The development of automated methods for nuclei segmentation enables quantitative analysis of the wide existence and large variances in nuclei morphometry in histopathology images.… read more here.

Keywords: segmentation; nuclei segmentation; point labels; boundary mining ... See more keywords

Deep learning-driven automatic nuclei segmentation of live-cell chromatin-sensitive partial wave spectroscopic microscopy imaging

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recommendations! Published in 2024 at "Optics Express"

DOI: 10.1364/oe.540169

Abstract: Chromatin-sensitive partial wave spectroscopic (csPWS) microscopy offers a non-invasive glimpse into the mass density distribution of cellular structures at the nanoscale, leveraging the spectroscopic information. Such capability allows us to analyze the chromatin structure and… read more here.

Keywords: cspws; loss; segmentation; microscopy ... See more keywords

Breast cancer histopathological images recognition based on two-stage nuclei segmentation strategy

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recommendations! Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0266973

Abstract: Pathological examination is the gold standard for breast cancer diagnosis. The recognition of histopathological images of breast cancer has attracted a lot of attention in the field of medical image processing. In this paper, on… read more here.

Keywords: nuclei segmentation; breast cancer; segmentation; histopathological images ... See more keywords

Nuclei segmentation of HE stained histopathological images based on feature global delivery connection network

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recommendations! Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0273682

Abstract: The analysis of pathological images, such as cell counting and nuclear morphological measurement, is an essential part in clinical histopathology researches. Due to the diversity of uncertain cell boundaries after staining, automated nuclei segmentation of… read more here.

Keywords: nuclei segmentation; delivery connection; global delivery; segmentation ... See more keywords