2021
DOI: 10.1016/j.ajpath.2020.12.008
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Three-Dimensional Vessel Segmentation in Whole-Tissue and Whole-Block Imaging Using a Deep Neural Network

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Cited by 10 publications
(6 citation statements)
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References 21 publications
(13 reference statements)
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“…Furthermore, since a much larger number of micro-CT images can be produced per specimen compared to conventional pathology images, it can save labor in the evaluation of obtaining images for clinical application. Ongoing development of artificial intelligence technologies has the potential to develop micro-CT image interpretation support systems that directly lead to pathological diagnosis by combining deep machine learning with biomedical image processing algorithms such as texture matching and non-rigid registration algorithms 22 24 .…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, since a much larger number of micro-CT images can be produced per specimen compared to conventional pathology images, it can save labor in the evaluation of obtaining images for clinical application. Ongoing development of artificial intelligence technologies has the potential to develop micro-CT image interpretation support systems that directly lead to pathological diagnosis by combining deep machine learning with biomedical image processing algorithms such as texture matching and non-rigid registration algorithms 22 24 .…”
Section: Discussionmentioning
confidence: 99%
“…FFPE blocks were scanned using a micro-CT scanner (Nikon Metrology NV, Leuven, Belgium) for 8 h to obtain WBI as previously described [ 17 ]. Image slices were reconstructed using modified Feldkamp-filtered back-projection algorithms with CDPro3D (Nikon Metrology).…”
Section: Methodsmentioning
confidence: 99%
“…Micro-focus X-ray computed tomography (micro-CT) provides a nondestructive reconstruction of high-resolution digital three-dimensional (3D) serial images up to 1 mm from the entire formalin-fixed paraffin-embedded (FFPE) tissue blocks [ 17 , 18 ]. Although micro-CT itself was initially developed for industrial and material science, recent studies have shown the efficacy of histological evaluation in breast, lung, and thyroid cancer using whole-block imaging (WBI) [ 19 , 20 , 21 , 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…Although histopathology is a time-honored method and constitutes the gold standard for the examination of human tumors, both conventional glass slides and their relatively new alternative, digital whole slide images (WSIs) obtained by scanning the glass slides, provide only two-dimensional (2D) information on a tumor, which is in fact a threedimensional (3D) entity [2,3]. Although 3D images can be reconstructed from serial WSIs, this is difficult and time-consuming, and it requires the whole paraffin block to be consumed, thereby disrupting the integrity of the tissue examined [4][5][6]. Additionally, in a histopathological examination, the amount of submitted tissue and the size of the tissue cassettes limit the material that is examined.…”
Section: Histopathological Imaging and Its Limitationsmentioning
confidence: 99%