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   Articles with "segmentation model" as a keyword



Multiscale unsupervised domain adaptation for automatic pancreas segmentation in CT volumes using adversarial learning.

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recommendations! Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15827

Abstract: PURPOSE Computer-aided automatic pancreas segmentation is essential for early diagnosis and treatment of pancreatic diseases. However, the annotation of pancreas images requires professional doctors and considerable expenditure. Due to imaging differences among various institution population,… read more here.

Keywords: domain adaptation; segmentation model; domain; segmentation ... See more keywords

Deep learning segmentation model for quantification of infarct size in pigs with myocardial ischemia/reperfusion

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recommendations! Published in 2024 at "Basic Research in Cardiology"

DOI: 10.1007/s00395-024-01081-x

Abstract: Infarct size (IS) is the most robust end point for evaluating the success of preclinical studies on cardioprotection. The gold standard for IS quantification in ischemia/reperfusion (I/R) experiments is triphenyl tetrazolium chloride (TTC) staining, typically… read more here.

Keywords: deep learning; quantification; learning segmentation; model ... See more keywords

Multistage segmentation model and SVM-ensemble for precise lung nodule detection

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recommendations! Published in 2018 at "International Journal of Computer Assisted Radiology and Surgery"

DOI: 10.1007/s11548-018-1715-9

Abstract: PurposeLung cancer detection at its initial stages increases the survival chances of patients. Automatic detection of lung nodules facilitates radiologists during the diagnosis. However, there is a challenge of false positives in automated systems which… read more here.

Keywords: detection; segmentation model; nodule; multistage segmentation ... See more keywords

A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic Retinopathy

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recommendations! Published in 2025 at "Ophthalmology and Therapy"

DOI: 10.1007/s40123-025-01127-w

Abstract: Existing deep learning (DL) algorithms lack the capability to accurately identify patients in immediate need of treatment for proliferative diabetic retinopathy (PDR). We aimed to develop a DL segmentation model to detect active PDR in… read more here.

Keywords: segmentation; segmentation model; diabetic retinopathy; pdr ... See more keywords

Modeling and Features Extraction of Blood Vessels based on Soft Regional Segmentation

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recommendations! Published in 2018 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2018.07.181

Abstract: Abstract Analysis and visualization of the blood vessels has a crucial impact for the clinical practice. One of the most important aspects of such analysis is the blood vessels features extraction characterizing their state and… read more here.

Keywords: segmentation model; blood; blood vessels; features extraction ... See more keywords

A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-82877-8

Abstract: Accurate lung nodule segmentation is fundamental for the early detection of lung cancer. With the rapid development of deep learning, lung nodule segmentation models based on the encoder-decoder structure have become the mainstream research approach.… read more here.

Keywords: segmentation model; lung nodule; nodule segmentation; lung ... See more keywords

Empowering Speaker Segmentation With Self‐Supervised Learning

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recommendations! Published in 2025 at "Electronics Letters"

DOI: 10.1049/ell2.70321

Abstract: Owing to the remarkable performance across diverse speech tasks, self‐supervised learning methods have garnered considerable attention in recent years. However, their application to speaker diarization still depends on complex back‐end trained on large amounts of… read more here.

Keywords: self supervised; speaker; segmentation; supervised learning ... See more keywords

A Generalizable Causal-Invariance-Driven Segmentation Model for Peripancreatic Vessels

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

DOI: 10.1109/tmi.2024.3400528

Abstract: Segmenting peripancreatic vessels in CT, including the superior mesenteric artery (SMA), the coeliac artery (CA), and the partial portal venous system (PPVS), is crucial for preoperative resectability analysis in pancreatic cancer. However, the clinical applicability… read more here.

Keywords: segmentation; peripancreatic vessels; model; segmentation model ... See more keywords

Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow

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recommendations! Published in 2025 at "Insights into Imaging"

DOI: 10.1186/s13244-025-01984-w

Abstract: For patients with colorectal liver metastases (CRLM), total tumor volume (TTV) is prognostic. A deep-learning segmentation model for CRLM to assess TTV called COlorectal cAncer Liver metastases Assessment (COALA) has been developed. This study evaluated… read more here.

Keywords: radiological workflow; segmentation; model; segmentation model ... See more keywords

FDTransUnet: An aluminum surface defect segmentation model based on feature differentiation

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recommendations! Published in 2025 at "PLOS One"

DOI: 10.1371/journal.pone.0320060

Abstract: Aiming at the current problems in the field of industrial defect segmentation, such as difficulty of obtaining a large number of defect samples, low recognition accuracy and lack of segmentation accuracy, a surface defect segmentation… read more here.

Keywords: surface defect; segmentation; feature differentiation; defect segmentation ... See more keywords

YOLOF-Snake: An Efficient Segmentation Model for Green Object Fruit

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recommendations! Published in 2022 at "Frontiers in Plant Science"

DOI: 10.3389/fpls.2022.765523

Abstract: Accurate detection and segmentation of the object fruit is the key part of orchard production measurement and automated picking. Affected by light, weather, and operating angle, it brings new challenges to the efficient and accurate… read more here.

Keywords: segmentation model; green object; fruit; segmentation ... See more keywords