Ultrasound Image Segmentation for Deep Vein Thrombosis using Unet-CNN based on Denoising Filter

Shodiq, Moh Nur; Yuniarno, Eko Mulyanto; Nugroho, Johanes; Purnama, I Ketut Eddy

doi:10.1109/ist55454.2022.9827731

Cited by 6 publications

(2 citation statements)

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“…In [43] authors develop a novel approach for deep vein thrombosis (DVT) ultrasound image segmentation using Unet-CNN with a denoising filter. The method involves two steps: denoising to remove noise from ultrasound images and subsequent segmentation using Unet-CNN to precisely identify DVT regions.…”

Section: Related Workmentioning

confidence: 99%

Segmentation of Breast Cancer on Ultrasound Images using Attention U-Net Model

LAGHMATI,

HICHAM,

CHERRADI

et al. 2023

IJACSA

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Breast cancer (BC) is one of the most prevailing and life-threatening types of cancer impacting women worldwide. Early detection and accurate diagnosis are crucial for effective treatment and improved patient outcomes. Deep learning techniques have shown remarkable promise in medical image analysis tasks, particularly segmentation. This research leverages the Breast Ultrasound Images BUSI dataset to develop two variations of a segmentation model using the Attention U-Net architecture. In this study, we trained the Attention3 U-Net and the Attention4 U-net on the BUSI dataset, consisting of normal, benign, and malignant breast lesions. We evaluated the model's performance based on standard segmentation metrics such as the Dice coefficient and Intersection over Union (IoU). The results demonstrate the effectiveness of the Attention U-Net in accurately segmenting breast lesions, with high overall performance, indicating agreement between predicted and ground truth masks. The successful application of the Attention U-Net to the BUSI dataset holds promise for improving breast cancer diagnosis and treatment. It highlights the potential of deep learning in medical image analysis, paving the way for more efficient and reliable diagnostic tools in breast cancer management.

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Section: Related Workmentioning

confidence: 99%

Segmentation of Breast Cancer on Ultrasound Images using Attention U-Net Model

LAGHMATI,

HICHAM,

CHERRADI

et al. 2023

IJACSA

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“…The incidence of VTE is 1 per 1000 annually in adult populations and rises with age (3). DVT refers to abnormal blood clot formation in the deep venous system of the body (4). Thrombus in DVT is formed because of virchow's triad consisting of blood vessel injury, reduced blood flow, and hypercoaguability (5).…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Patients with Deep Vein Thrombosis in RSUD Dr. Soetomo, Surabaya from 2019-2021

Aeny¹,

Putranto²,

Tirthaningsih³

et al. 2022

IJRP

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Background: Deep Vein Thrombosis refers to a disease where abnormal blood clot is formed within a vein. It is one of the most common vascular diseases with unspecific symptoms and may complicates to pulmonary emboli and cause death. Hence, it is a disease with high morbidity and mortality.Objective: This study aims to identify the characteristics of outpatients with DVT at RSUD Dr. Soetomo during 2019-2021. Material and Methods: This study is a retrospective descriptive study using the total sampling technique to collect samples from patient medical records diagnosed as DVT, which confirmed by ultrasonography examination at RSUD Dr. Soetomo during January 2019 -July 2021.Results: This study discovered 24 outpatients with DVT at RSUD Dr. Soetomo during January 2019 -July 2021. DVT was found to affect more women than men. The most common age group for DVT is 46-55 years old. The most frequently found clinical manifestations were swelling. The vital signs examination results were within normal limits, with the exception of systolic blood pressure, which was found to be higher than normal. The CBC examination results were also within normal limits. DVT was most commonly found in the femoral vein. All of the patient received rivaroxaban as anticoagulant treatment. Conclusion:This study discovered that DVT patients were mostly women and highly found in patients over the age of 40 years with the femoral vein being the most common location of DVT.

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