margin detection
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2022 ◽  
pp. jnumed.121.262235
Author(s):  
Giri Krishnan ◽  
Nynke S van den Berg ◽  
Naoki Nishio ◽  
Shrey Kapoor ◽  
Jaqueline Pei ◽  
...  

Author(s):  
Alice Maria Leondina Santilli ◽  
Kevin Ren ◽  
Richard Oleschuk ◽  
Martin Kaufmann ◽  
John Rudan ◽  
...  

2021 ◽  
Author(s):  
Tae Il Yoon ◽  
Jae Sung Park ◽  
Byeong Ha Lee ◽  
Tae Joong Eom

Materials ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 7502
Author(s):  
Polina S. Tseregorodtseva ◽  
Kirill E. Buiankin ◽  
Boris P. Yakimov ◽  
Armais A. Kamalov ◽  
Gleb S. Budylin ◽  
...  

Diffuse reflectance spectroscopy (DRS) and imaging are increasingly being used in surgical guidance for tumor margin detection during endoscopic operations. However, the accuracy of the boundary detection with optical techniques may depend on the acquisition parameters, and its evaluation is in high demand. In this work, using optical phantoms with homogeneous and heterogeneous distribution of chromophores mimicking normal and pathological bladder tissues, the accuracy of tumor margin detection using single-fiber diffuse reflectance spectroscopy and spatial frequency domain imaging was evaluated. We also showed how the diffuse reflectance response obtained at different spatial frequencies with the spatial frequency domain imaging technique could be used not only to quantitatively map absorption and scattering coefficients of normal tissues and tumor-like heterogeneities but also to estimate the tumor depth localization. The demonstrated results could be helpful for proper analysis of the DRS data measured in vivo and for translation of optical techniques for tumor margin detection to clinics.


2021 ◽  
Author(s):  
Ariel Schwarz ◽  
Yossef Danan ◽  
Rachel Bar-Shalom ◽  
Amir Shemer

2021 ◽  
Vol 10 (19) ◽  
pp. 4387
Author(s):  
Joanna Polom ◽  
Leszek Kalinowski ◽  
Michele Diana ◽  
Manish Chand ◽  
Carmela Caballero ◽  
...  

Since the introduction of indocyanine green (ICG) as a fluorophore in near-infrared imaging, fluorescence visualization has become an essential tool in many fields of surgery. In the field of gynecology, recent new applications have been proposed and found their place in clinical practice. Different applications in gynecology were investigated, subcategorized, and overviewed concerning surgical applications and available dyes. Specific applications in which fluorescence-guided surgery was implemented in gynecology are described in this manuscript—namely, sentinel node biopsy, mesometrium visualization, angiography of different organs, safety issues in pregnant women, ureters visualization, detection of peritoneal metastases, targeted fluorophores for cancer detection, fluorescent contamination hysterectomy, lymphography for lower limb lymphedema prevention, tumor margin detection, endometriosis, and metastases mapping. With evolving technology, further innovative research on the new applications of fluorescence visualization in cancer surgery may help to establish these techniques as standards of high-quality surgery in gynecology. However, more investigations are necessary in order to assess if these innovative tools can also be effective to improve patient outcomes and quality of life in different gynecologic malignancies.


2021 ◽  
Author(s):  
Petar Prvulović ◽  
Jelena Vasiljević ◽  
Dhinaharan Nagamalai

This paper explains a method used to detect the presence of impulse noise in a set of scanned documents as a part of OCR preprocessing. As the document set is supposed to be processed in large scale, the primary concern of the noise detection method was efficiency within existing project constraints. Following the nature of noise, the method seeks to detect the presence of noise in document margins. The method works in two stages. First stage is margin detection, based on color spectre analysis. Second stage is noise recognition in margin samples, based on a pixel contrast score. The resulting implementation proved efficient both in terms of detection accuracy and algorithmic complexity.


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