Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection

M Sharif, U Tanvir, EU Munir, MA Khan… - Journal of ambient …, 2024 - Springer
A malignant tumor in brain is detected using images from Magnetic Resonance scanners.
Malignancy detection in brain and separation of its tissues from normal brain cells allows to …

Machine learning for the detection and segmentation of benign tumors of the central nervous system: a systematic review

P Windisch, C Koechli, S Rogers, C Schröder… - Cancers, 2022 - mdpi.com
Simple Summary Machine learning in radiology of the central nervous system has seen
many interesting publications in the past few years. Since the focus has largely been on …

Label-free optical imaging for brain cancer assessment

R Raghunathan, M Vasquez, K Zhang, H Zhao… - Trends in Cancer, 2024 - cell.com
Advances in label-free optical imaging offer a promising avenue for brain cancer
assessment, providing high-resolution, real-time insights without the need for radiation or …

Applying machine learning to optical coherence tomography images for automated tissue classification in brain metastases

J Möller, A Bartsch, M Lenz, I Tischoff, R Krug… - International Journal of …, 2021 - Springer
Purpose A precise resection of the entire tumor tissue during surgery for brain metastases is
essential to reduce local recurrence. Conventional intraoperative imaging techniques all …

Automatic localization of anatomical regions in medical ultrasound images of rheumatoid arthritis using deep learning

RJ Hemalatha, V Vijaybaskar… - Proceedings of the …, 2019 - journals.sagepub.com
The pace of population aging is growing faster worldwide. The quality of life of the aging
population is mostly affected by rheumatic diseases. With the increasing rate of rheumatoid …

[HTML][HTML] Laser brain cancer surgery in a xenograft model guided by optical coherence tomography

N Katta, AD Estrada, AB McElroy, A Gruslova… - Theranostics, 2019 - ncbi.nlm.nih.gov
Higher precision surgical devices are needed for tumor resections near critical brain
structures. The goal of this study is to demonstrate feasibility of a system capable of precise …

[PDF][PDF] 智能化精准光学诊疗技术研究进展

李阳曦, 胡成全, 马龙飞, 张欣然… - Chinese Journal of …, 2021 - researching.cn
摘要现代光学成像和光学治疗技术的发展, 为智能化精准微创诊疗平台的构建提供了重要的结构
支撑. 传统的诊断和治疗技术存在诊断与治疗过程相对独立, 术前, 术中信息不匹配 …

Differentiation of different stages of brain tumor infiltration using optical coherence tomography: Comparison of two systems and histology

P Strenge, B Lange, W Draxinger, C Grill… - Frontiers in …, 2022 - frontiersin.org
The discrimination of tumor-infiltrated tissue from non-tumorous brain tissue during
neurosurgical tumor excision is a major challenge in neurosurgery. It is critical to achieve full …

Capability of physically reasonable OCT-based differentiation between intact brain tissues, human brain gliomas of different WHO grades, and glioma model 101.8 …

IN Dolganova, PV Aleksandrova, PV Nikitin… - Biomedical Optics …, 2020 - opg.optica.org
Optical coherence tomography (OCT) of the ex vivo rat and human brain tissue samples is
performed. The set of samples comprises intact white and gray matter, as well as human …

Improved diagnostic imaging of brain tumors by multimodal microscopy and deep learning

J Gesperger, A Lichtenegger, T Roetzer, M Salas… - Cancers, 2020 - mdpi.com
Fluorescence-guided surgery is a state-of-the-art approach for intraoperative imaging during
neurosurgical removal of tumor tissue. While the visualization of high-grade gliomas is …