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A biopsy is the only diagnostic procedure for accurate histological confirmation of breast cancer. When sonographic placement is not feasible, a Magnetic Resonance Imaging(MRI)-guided biopsy is often preferred. The lack of real-time imaging…

Accurate segmentation of anatomical structures and pathological regions in medical images is crucial for diagnosis, treatment planning, and disease monitoring. While the Segment Anything Model (SAM) and its variants have demonstrated…

Image and Video Processing · Electrical Eng. & Systems 2024-07-18 Yiqing Shen , Xinyuan Shao , Blanca Inigo Romillo , David Dreizin , Mathias Unberath

Brachytherapy involves bringing a radioactive source near tumor tissue using implanted needles. Image-guided brachytherapy planning requires amongst others, the reconstruction of the needles. Manually annotating these needles on patient…

Image and Video Processing · Electrical Eng. & Systems 2025-07-28 Vangelis Kostoulas , Arthur Guijt , Ellen M. Kerkhof , Bradley R. Pieters , Peter A. N. Bosman , Tanja Alderliesten

The exchange of large and complex slide microscopy imaging data in biomedical research and pathology practice is impeded by a lack of data standardization and interoperability, which is detrimental to the reproducibility of scientific…

Colorectal cancer screening critically depends on colonoscopy, yet existing platforms offer limited support for systematically studying the coupled dynamics of operator control, instrument motion, and visual feedback. This gap restricts…

The objective of this paper is to significantly reduce the manual workload required from medical professionals in complex 3D segmentation tasks that cannot be yet fully automated. For instance, in radiotherapy planning, organs at risk must…

The digitization of biological specimens has revolutionized the field of morphology, creating large collections of 3D data, and microCT in particular. This revolution was initially supported by the development of open-source software tools,…

Other Quantitative Biology · Quantitative Biology 2026-01-22 A. Murat Maga , Jean-Christophe Fillion-Robin

Automated brain tumor segmentation methods have become well-established and reached performance levels offering clear clinical utility. These methods typically rely on four input magnetic resonance imaging (MRI) modalities: T1-weighted…

Wireless capsule endoscopy (WCE) is a process in which a patient swallows a camera-embedded pill-shaped device that passes through the gastrointestinal (GI) tract, captures and transmits images to an external receiver. WCE devices are…

Image and Video Processing · Electrical Eng. & Systems 2019-10-02 Tariq Rahim , Muhammad Arslan Usman , Soo Young Shin

The Segment Anything Model (SAM) is a new image segmentation tool trained with the largest available segmentation dataset. The model has demonstrated that, with prompts, it can create high-quality masks for general images. However, the…

Image and Video Processing · Electrical Eng. & Systems 2024-02-06 Yihao Liu , Jiaming Zhang , Zhangcong She , Amir Kheradmand , Mehran Armand

Cervical cancer is one of the leading causes of death in women, and brachytherapy is currently the primary treatment method. However, it is important to precisely define the extent of paracervical tissue invasion to improve cancer diagnosis…

Computer Vision and Pattern Recognition · Computer Science 2024-05-22 Jjahao Zhang , Yin Gu , Deyu Sun , Yuhua Gao , Ming Gao , Ming Cui , Teng Zhang , He Ma

Despite significant progress in generative modelling, existing diffusion models often struggle to produce anatomically precise female pelvic images, limiting their application in gynaecological imaging, where data scarcity and patient…

Image and Video Processing · Electrical Eng. & Systems 2025-08-26 Johanna P. Müller , Anika Knupfer , Pedro Blöss , Edoardo Berardi Vittur , Bernhard Kainz , Jana Hutter

Most commercially available treatment planning systems for brachytherapy operate based on physical dose and do not incorporate fractionation or tissue-specific response. The purpose of this study is to investigate the potential for…

Medical Physics · Physics 2017-12-04 Kaelyn Seeley , I-Chow J. Hsu , Tae Min Hong , J. Adam Cunha

Segmentation is a crucial task in the medical imaging field and is often an important primary step or even a prerequisite to the analysis of medical volumes. Yet treatments such as surgery complicate the accurate delineation of regions of…

Image and Video Processing · Electrical Eng. & Systems 2024-09-13 Heejong Kim , Leo Milecki , Mina C Moghadam , Fengbei Liu , Minh Nguyen , Eric Qiu , Abhishek Thanki , Mert R Sabuncu

Purpose: The data which is available to surgeons before, during and after surgery is steadily increasing in quantity as well as diversity. When planning a patient's treatment, this large amount of information can be difficult to interpret.…

Human-Computer Interaction · Computer Science 2018-03-23 Micha Pfeiffer , Hannes Kenngott , Anas Preukschas , Matthias Huber , Lisa Bettscheider , Beat Müller-Stich , Stefanie Speidel

This study presents the development and validation of an independent software tool based on the Varian Eclipse Scripting API (ESAPI) for multi-modal brachytherapy Quality Assurance (QA). The tool addresses GEC-ESTRO HDR protocols and LDR…

Medical Physics · Physics 2026-03-24 J. A. Valgoma

The integration of medical imaging, computational analysis, and robotic technology has brought about a significant transformation in minimally invasive surgical procedures, particularly in the realm of laparoscopic rectal surgery (LRS).…

Robotics · Computer Science 2024-02-23 Alexandra Thomieres , Dhruva Khanzode , Emilie Duchalais , Ranjan Jha , Damien Chablat

Intraoperative ultrasound imaging is used to facilitate safe brain tumour resection. However, due to challenges with image interpretation and the physical scanning, this tool has yet to achieve widespread adoption in neurosurgery. In this…

Breast cancer is the most prevalent cancer type in women, and while its survival rate is generally high the aesthetic outcome is an increasingly important factor when evaluating different treatment alternatives. 3D scanning and…

Computer Vision and Pattern Recognition · Computer Science 2017-06-21 Rene Lacher , Francisco Vasconcelos , David Bishop , Norman Williams , Mohammed Keshtgar , David Hawkes , John Hipwell , Danail Stoyanov

Breast cancer is one of the leading causes of cancer-related mortality in women, and early detection is essential for improving outcomes. Magnetic resonance imaging (MRI) is a highly sensitive tool for breast cancer detection, particularly…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Smriti Joshi , Lidia Garrucho , Richard Osuala , Oliver Diaz , Karim Lekadir