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pro vyhledávání: '"Jush, Farnaz Khun"'
While content-based image retrieval (CBIR) has been extensively studied in natural image retrieval, its application to medical images presents ongoing challenges, primarily due to the 3D nature of medical images. Recent studies have shown the potenti
Externí odkaz:
http://arxiv.org/abs/2405.09334
Near- and duplicate image detection is a critical concern in the field of medical imaging. Medical datasets often contain similar or duplicate images from various sources, which can lead to significant performance issues and evaluation biases, especi
Externí odkaz:
http://arxiv.org/abs/2312.07273
A wide range of imaging techniques and data formats available for medical images make accurate retrieval from image databases challenging. Efficient retrieval systems are crucial in advancing medical research, enabling large-scale studies and innovat
Externí odkaz:
http://arxiv.org/abs/2311.13547
Quantitative ultrasound, e.g., speed-of-sound (SoS) in tissues, provides information about tissue properties that have diagnostic value. Recent studies showed the possibility of extracting SoS information from pulse-echo ultrasound raw data (a.k.a. R
Externí odkaz:
http://arxiv.org/abs/2207.02392
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2023)
Ultrasound b-mode imaging is a qualitative approach and diagnostic quality strongly depends on operators' training and experience. Quantitative approaches can provide information about tissue properties; therefore, can be used for identifying various
Externí odkaz:
http://arxiv.org/abs/2202.01208