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Ovarian cancer detection has traditionally relied on a multi-step process that includes biopsy, tissue staining, and morphological analysis by experienced pathologists. While widely practiced, this conventional approach suffers from several…

Image segmentation is a central topic in image processing and computer vision and a key issue in many applications, e.g., in medical imaging, microscopy, document analysis and remote sensing. According to the human perception, image…

数值分析 · 数学 2022-06-24 Laura Antonelli , Valentina De Simone , Daniela di Serafino

Accurate segmentation of ultrasound (US) images of the cervical muscles is crucial for precision healthcare. The demand for automatic computer-assisted methods is high. However, the scarcity of labeled data hinders the development of these…

图像与视频处理 · 电气工程与系统科学 2025-03-24 Fangyijie Wang , Kathleen M. Curran , Guénolé Silvestre

Cancer is one of the leading health challenges for women, specifically breast and ovarian cancer. Early detection can help improve the survival rate through timely intervention and treatment. Traditional methods of detecting cancer involve…

图像与视频处理 · 电气工程与系统科学 2025-09-24 Richa Rawat , Faisal Ahmed

Cervical adenocarcinoma in situ (AIS) is a critical premalignant lesion whose accurate histopathological diagnosis is challenging. Early detection is essential to prevent progression to invasive cervical adenocarcinoma. In this study, we…

计算机视觉与模式识别 · 计算机科学 2025-11-25 Gabriela Fernandes

Breast cancer (BC) remains a significant health threat, with no long-term cure currently available. Early detection is crucial, yet mammography interpretation is hindered by high false positives and negatives. With BC incidence projected to…

计算机视觉与模式识别 · 计算机科学 2023-06-22 Jai Vardhan , Taraka Satya Krishna Teja Malisetti

Cervical cancer is one of the most deadly and common diseases among women worldwide. It is completely curable if diagnosed in an early stage, but the tedious and costly detection procedure makes it unviable to conduct population-wise…

计算机视觉与模式识别 · 计算机科学 2021-10-25 Hritam Basak , Rohit Kundu , Sukanta Chakraborty , Nibaran Das

Image segmentation is the process of partitioning an image into a set of meaningful regions according to some criteria. Hierarchical segmentation has emerged as a major trend in this regard as it favors the emergence of important regions at…

计算机视觉与模式识别 · 计算机科学 2017-03-10 Amin Fehri , Santiago Velasco-Forero , Fernand Meyer

We report results on unsupervised organization of cervical cells using microscopy of Pap-smear samples in brightfield (3-channel colour) as well as high resolution quantitative phase imaging modalities. A number of morphological parameters…

图像与视频处理 · 电气工程与系统科学 2018-11-14 Jyoti Mangal , Rashi Monga , Sandeep R. Mathur , Amit K. Dinda , Joby Joseph , Sarita Ahlawat , Kedar Khare

Breast cancer remains the most commonly diagnosed malignancy among women in the developed world. Early detection through mammography screening plays a pivotal role in reducing mortality rates. While computer-aided diagnosis (CAD) systems…

计算机视觉与模式识别 · 计算机科学 2025-10-30 Shunjie-Fabian Zheng , Hyeonjun Lee , Thijs Kooi , Ali Diba

Purpose: Cervical cancer is one of the primary causes of death in women. It should be diagnosed early and treated according to the best medical advice, as with other diseases, to ensure that its effects are as minimal as possible. Pap smear…

图像与视频处理 · 电气工程与系统科学 2023-03-21 Bhaswati Singha Deo , Mayukha Pal , Prasanta K. Panigarhi , Asima Pradhan

Routine computed tomography (CT) scans often detect a wide range of renal cysts, some of which may be malignant. Early and precise localization of these cysts can significantly aid quantitative image analysis. Current segmentation methods,…

Treatment for high-grade precancerous cervical lesions and early-stage cancers, mainly affecting women of reproductive age, often involves fertility-sparing treatment methods. Commonly used local treatments for cervical precancers have…

Accurate segmentation of prostate and surrounding organs at risk is important for prostate cancer radiotherapy treatment planning. We present a fully automated workflow for male pelvic CT image segmentation using deep learning. The…

Medical image segmentation is routinely performed to isolate regions of interest, such as organs and lesions. Currently, deep learning is the state of the art for automatic segmentation, but is usually limited by the need for supervised…

图像与视频处理 · 电气工程与系统科学 2021-02-05 Umaseh Sivanesan , Luis H. Braga , Ranil R. Sonnadara , Kiret Dhindsa

Colorectal cancer (CRC) remains a significant cause of cancer-related mortality, despite the widespread implementation of prophylactic initiatives aimed at detecting and removing precancerous polyps. Although screening effectively reduces…

计算机视觉与模式识别 · 计算机科学 2026-02-11 Ahmed Rahu , Brian Shula , Brandon Combs , Aqsa Sultana , Surendra P. Singh , Vijayan K. Asari , Derrick Forchetti

Breast cancer is the most frequently diagnosed human cancer in the United States at present. Early detection is crucial for its successful treatment. X-ray mammography and digital breast tomosynthesis are currently the main methods for…

Breast cancer is considered as one of a major health problem that constitutes the strongest cause behind mortality among women in the world. So, in this decade, breast cancer is the second most common type of cancer, in term of appearance…

计算机视觉与模式识别 · 计算机科学 2011-09-02 Atef Boujelben , Hedi Tmar , Jameleddine Mnif , Mohamed Abid

Cervical spondylosis (CS) is a common chronic disease that affects up to two-thirds of the population and poses a serious burden on individuals and society. The early identification has significant value in improving cure rate and reducing…

机器学习 · 计算机科学 2018-12-13 Nana Wang , Li Cui , Xi Huang , Yingcong Xiang , Jing Xiao

Breast cancer is the most common cancer among women worldwide. Early-stage diagnosis of breast cancer can significantly improve the efficiency of treatment. Computer-aided diagnosis (CAD) systems are widely adopted in this issue due to…

图像与视频处理 · 电气工程与系统科学 2024-10-28 Mohammad Reza Abbasniya , Sayed Ali Sheikholeslamzadeh , Hamid Nasiri , Samaneh Emami
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