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The importance of rapid and accurate histologic analysis of surgical tissue in the operating room has been recognized for over a century. Our standard-of-care intraoperative pathology workflow is based on light microscopy and H\&E…

Background: Accurate diagnosis of skull base tumors is essential for providing personalized surgical treatment strategies. Intraoperative diagnosis can be challenging due to tumor diversity and lack of intraoperative pathology resources.…

During neurosurgery, medical images of the brain are used to locate tumors and critical structures, but brain tissue shifts make pre-operative images unreliable for accurate removal of tumors. Intra-operative imaging can track these…

Surgery for gliomas (intrinsic brain tumors), especially when low-grade, is challenging due to the infiltrative nature of the lesion. Currently, no real-time, intra-operative, label-free and wide-field tool is available to assist and guide…

Conventional haematoxylin, eosin and saffron (HES) histopathology, currently the gold-standard for pathological diagnosis of cancer, requires extensive sample preparations that are achieved within time scales that are not compatible with…

Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the naked eye difficult. Since surgery is the common treatment…

Intraoperative ultrasound (ioUS) is a valuable tool in brain tumor surgery due to its versatility, affordability, and seamless integration into the surgical workflow. However, its adoption remains limited, primarily because of the…

Brain tumors are a complex and potentially life-threatening medical condition that requires accurate diagnosis and timely treatment. In this paper, we present a machine learning-based system designed to assist healthcare professionals in…

Image and Video Processing · Electrical Eng. & Systems 2023-04-18 Belal Badawy , Romario Sameh Samir , Youssef Tarek , Mohammed Ahmed , Rana Ibrahim , Manar Ahmed , Mohamed Hassan

Automatic image segmentation becomes very crucial for tumor detection in medical image processing.In general, manual and semi automatic segmentation techniques require more time and knowledge. However these drawbacks had overcome by…

Computer Vision and Pattern Recognition · Computer Science 2016-03-09 D. Anithadevi , K. Perumal

Non-invasive brain imaging techniques allow understanding the behavior and macro changes in the brain to determine the progress of a disease. However, computational pathology provides a deeper understanding of brain disorders at cellular…

Image and Video Processing · Electrical Eng. & Systems 2023-01-18 Gabriel Jimenez , Daniel Racoceanu

One of the most important tasks in medical image processing is the brain's whole tumor segmentation. It assists in quicker clinical assessment and early detection of brain tumors, which is crucial for lifesaving treatment procedures of…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Apurva Pandya , Catherine Samuel , Nisargkumar Patel , Vaibhavkumar Patel , Thangarajah Akilan

A myriad of algorithms for the automatic analysis of brain MR images is available to support clinicians in their decision-making. For brain tumor patients, the image acquisition time series typically starts with an already pathological…

Image and Video Processing · Electrical Eng. & Systems 2024-09-24 Florian Kofler , Felix Meissen , Felix Steinbauer , Robert Graf , Stefan K Ehrlich , Annika Reinke , Eva Oswald , Diana Waldmannstetter , Florian Hoelzl , Izabela Horvath , Oezguen Turgut , Suprosanna Shit , Christina Bukas , Kaiyuan Yang , Johannes C. Paetzold , Ezequiel de da Rosa , Isra Mekki , Shankeeth Vinayahalingam , Hasan Kassem , Juexin Zhang , Ke Chen , Ying Weng , Alicia Durrer , Philippe C. Cattin , Julia Wolleb , M. S. Sadique , M. M. Rahman , W. Farzana , A. Temtam , K. M. Iftekharuddin , Maruf Adewole , Syed Muhammad Anwar , Ujjwal Baid , Anastasia Janas , Anahita Fathi Kazerooni , Dominic LaBella , Hongwei Bran Li , Ahmed W Moawad , Gian-Marco Conte , Keyvan Farahani , James Eddy , Micah Sheller , Sarthak Pati , Alexandros Karagyris , Alejandro Aristizabal , Timothy Bergquist , Verena Chung , Russell Takeshi Shinohara , Farouk Dako , Walter Wiggins , Zachary Reitman , Chunhao Wang , Xinyang Liu , Zhifan Jiang , Elaine Johanson , Zeke Meier , Ariana Familiar , Christos Davatzikos , John Freymann , Justin Kirby , Michel Bilello , Hassan M Fathallah-Shaykh , Roland Wiest , Jan Kirschke , Rivka R Colen , Aikaterini Kotrotsou , Pamela Lamontagne , Daniel Marcus , Mikhail Milchenko , Arash Nazeri , Marc-André Weber , Abhishek Mahajan , Suyash Mohan , John Mongan , Christopher Hess , Soonmee Cha , Javier Villanueva-Meyer , Errol Colak , Priscila Crivellaro , Andras Jakab , Abiodun Fatade , Olubukola Omidiji , Rachel Akinola Lagos , O O Olatunji , Goldey Khanna , John Kirkpatrick , Michelle Alonso-Basanta , Arif Rashid , Miriam Bornhorst , Ali Nabavizadeh , Natasha Lepore , Joshua Palmer , Antonio Porras , Jake Albrecht , Udunna Anazodo , Mariam Aboian , Evan Calabrese , Jeffrey David Rudie , Marius George Linguraru , Juan Eugenio Iglesias , Koen Van Leemput , Spyridon Bakas , Benedikt Wiestler , Ivan Ezhov , Marie Piraud , Bjoern H Menze

Intraoperative optical imaging is a localization technique for the functional areas of the human brain cortex during neurosurgical procedures. These areas can be assessed by monitoring cerebral hemodynamics and metabolism. A robust…

Brain tumors require an assessment to ensure timely diagnosis and effective patient treatment. Morphological factors such as size, location, texture, and variable appearance complicate tumor inspection. Medical imaging presents challenges,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-27 Md. Zahid Hasan , Abdullah Tamim , D. M. Asadujjaman , Md. Mahfujur Rahman , Md. Abu Ahnaf Mollick , Nosin Anjum Dristi , Abdullah-Al-Noman

Cancer is a complex disease that provides various types of information depending on the scale of observation. While most tumor diagnostics are performed by observing histopathological slides, radiology images should yield additional…

Image and Video Processing · Electrical Eng. & Systems 2020-10-07 Marvin Lerousseau , Eric Deutsh , Nikos Paragios

Radiation therapy has emerged as one of the preferred techniques to treat brain cancer patients. During treatment, a very high dose of radiation is delivered to a very narrow area. Prescribed radiation therapy for brain cancer requires…

Computer Vision and Pattern Recognition · Computer Science 2017-04-06 Jose Dolz , Nicolas Reyns , Nacim Betrouni , Dris Kharroubi , Mathilde Quidet , Laurent Massoptier , Maximilien Vermandel

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…

Super-resolution (SR) for image enhancement has great importance in medical image applications. Broadly speaking, there are two types of SR, one requires multiple low resolution (LR) images from different views of the same object to be…

Image and Video Processing · Electrical Eng. & Systems 2018-10-17 Jin Zhu , Guang Yang , Pietro Lio

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…

Magnetic Resonance Imaging (MRI) is the primary imaging modality used in the diagnosis, assessment, and treatment planning for brain pathologies. However, most automated MRI analysis tools, such as segmentation and registration pipelines,…

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