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相关论文: Adnexal Mass Segmentation with Ultrasound Data Syn…

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Background: Adnexal masses are heterogeneous and have varied sonographic presentations, making them difficult to diagnose correctly. Purpose: Our study aimed to develop an innovative hybrid artificial intelligence/computer aided diagnosis…

Adnexal mass evaluation via ultrasound is a challenging clinical task, often hindered by subjective interpretation and significant inter-observer variability. While automated segmentation is a foundational step for quantitative risk…

Breast cancer is one of the leading causes of cancer death among women worldwide. In clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging and essential for cancer diagnosis and treatment planning. Many…

计算机视觉与模式识别 · 计算机科学 2018-01-11 Min Xian , Yingtao Zhang , H. D. Cheng , Fei Xu , Boyu Zhang , Jianrui Ding

Breast cancer is one of the most serious disease affecting women's health. Due to low cost, portable, no radiation, and high efficiency, breast ultrasound (BUS) imaging is the most popular approach for diagnosing early breast cancer.…

计算机视觉与模式识别 · 计算机科学 2019-10-24 Kuan Huang , Yingtao Zhang , H. D. Cheng , Ping Xing , Boyu Zhang

Breast cancer remains the leading cause of cancer-related mortality among women worldwide, necessitating the meticulous examination of mammograms by radiologists to characterize abnormal lesions. This manual process demands high accuracy…

图像与视频处理 · 电气工程与系统科学 2024-11-25 Laia Domingo , Mahdi Chehimi

Automatic segmentation of anatomical landmarks from ultrasound (US) plays an important role in the management of preterm neonates with a very low birth weight due to the increased risk of developing intraventricular hemorrhage (IVH) or…

图像与视频处理 · 电气工程与系统科学 2019-12-19 Jeya Maria Jose V. , Rajeev Yasarla , Puyang Wang , Ilker Hacihaliloglu , Vishal M. Patel

The application of ultrasound in healthcare has seen increased diversity and importance. Unlike other medical imaging modalities, ultrasound research and development has historically lagged, particularly in the case of applications with…

计算机视觉与模式识别 · 计算机科学 2025-02-14 Alistair Weld , Giovanni Faoro , Luke Dixon , Sophie Camp , Arianna Menciassi , Stamatia Giannarou

Endometriosis is a non-malignant disorder that affects 176 million women globally. Diagnostic delays result in severe dysmenorrhea, dyspareunia, chronic pelvic pain, and infertility. Therefore, there is a significant need to diagnose…

图像与视频处理 · 电气工程与系统科学 2023-02-21 Adrian Balica , Jennifer Dai , Kayla Piiwaa , Xiao Qi , Ashlee N. Green , Nancy Phillips , Susan Egan , Ilker Hacihaliloglu

Breast cancer is one of the most common and prevalent type of cancer that mainly affects the women population. chances of effective treatment increases with early diagnosis. Mammography is considered one of the effective and proven…

计算机视觉与模式识别 · 计算机科学 2021-09-30 Bilal Ahmed Lodhi

Early detection of myometrial invasion is critical for the staging and life-saving management of endometrial carcinoma (EC), a prevalent global malignancy. Transvaginal ultrasound serves as the primary, accessible screening modality in…

计算机视觉与模式识别 · 计算机科学 2026-02-24 Dongjing Shan , Yamei Luo , Jiqing Xuan , Lu Huang , Jin Li , Mengchu Yang , Zeyu Chen , Fajin Lv , Yong Tang , Chunxiang Zhang

Cervical cancer remains a significant global health concern and a leading cause of cancer-related deaths among women. Early detection through Pap smear tests is essential to reduce mortality rates; however, the manual examination is time…

计算机视觉与模式识别 · 计算机科学 2025-09-03 Nisreen Albzour , Sarah S. Lam

Automated 3-D breast ultrasound (ABUS) is a newfound system for breast screening that has been proposed as a supplementary modality to mammography for breast cancer detection. While ABUS has better performance in dense breasts, reading ABUS…

图像与视频处理 · 电气工程与系统科学 2021-09-30 Hamed Fayyaz , Ehsan Kozegar , Tao Tan , Mohsen Soryani

As a pragmatic data augmentation tool, data synthesis has generally returned dividends in performance for deep learning based medical image analysis. However, generating corresponding segmentation masks for synthetic medical images is…

图像与视频处理 · 电气工程与系统科学 2023-03-23 Xiaodan Xing , Giorgos Papanastasiou , Simon Walsh , Guang Yang

Breast cancer is one of the factors that cause the increase of mortality of women. The most widely used method for diagnosing this geological disease i.e. breast cancer is the ultrasound scan. Several key features such as the smoothness and…

人工智能 · 计算机科学 2021-08-10 Mohamed Mejri , Aymen Mejri , Oumayma Mejri , Chiraz Fekih

Mammography is the most widely used method to screen breast cancer. Because of its mostly manual nature, variability in mass appearance, and low signal-to-noise ratio, a significant number of breast masses are missed or misdiagnosed. In…

计算机视觉与模式识别 · 计算机科学 2016-12-05 Daniel Lévy , Arzav Jain

Breast cancer is considered as the most fatal type of cancer among women worldwide and it is crucially important to be diagnosed at its early stages. In the current study, we aim to represent a fast and efficient framework which consists of…

计算机视觉与模式识别 · 计算机科学 2019-05-13 Parvin Yousefikamal

Surgical tool segmentation in endoscopic images is an important problem: it is a crucial step towards full instrument pose estimation and it is used for integration of pre- and intra-operative images into the endoscopic view. While many…

计算机视觉与模式识别 · 计算机科学 2020-07-10 Daniil Pakhomov , Wei Shen , Nassir Navab

Mammogram inspection in search of breast tumors is a tough assignment that radiologists must carry out frequently. Therefore, image analysis methods are needed for the detection and delineation of breast masses, which portray crucial…

Rectal cancer is one of the most common diseases and a major cause of mortality. For deciding rectal cancer treatment plans, T-staging is important. However, evaluating the index from preoperative MRI images requires high radiologists'…

图像与视频处理 · 电气工程与系统科学 2023-12-11 Saeko Sasuga , Akira Kudo , Yoshiro Kitamura , Satoshi Iizuka , Edgar Simo-Serra , Atsushi Hamabe , Masayuki Ishii , Ichiro Takemasa

Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of deaths. Automated 3D Breast Ultrasound (ABUS) is a newer approach for breast screening, which has many advantages…

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