Towards Optimal Image Stitching for Virtual Microscopy

2006 ◽  
Author(s):  
B. Appleton ◽  
A.P. Bradley ◽  
M. Wildermoth
Keyword(s):  
Virtual Microscopy ◽  
Image Stitching

Tissue microarray based classification of early and late stage colorectal cancer in optical and virtual microscopy

2007 ◽  
Vol 45 (05) ◽  
Author(s):  
F Sipos ◽  
S Spisák ◽  
T Krenács ◽  
O Galamb ◽  
B Galamb ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Tissue Microarray ◽  
Late Stage ◽  
Virtual Microscopy

Real Time Panoramic Video in OpenCV using Image Stitching Techniques

2018 ◽  
Vol 06 (03) ◽  
pp. 184-187
Author(s):  
K. Rajasri ◽  
D. Gayathri ◽  
Balasundari Ilanthirayan ◽  
A. Sundra
Keyword(s):  
Real Time ◽  
Image Stitching ◽  
Panoramic Video ◽  
Stitching Techniques

Image Stitching Algorithms - A Review

2016 ◽  
Vol 1 (2) ◽  
pp. 14-18
Author(s):  
Srishty Suman ◽  
Utkarsh Rastogi ◽  
Rajat Tiwari
Keyword(s):  
Video Compression ◽  
Video Summarization ◽  
Video Stabilization ◽  
Image Stitching

Image stitching is the process of combining two or more images of the same scene as a single larger image. Image stitching is needed in many applications like video stabilization, video summarization, video compression, panorama creation. The effectiveness of image stitching depends on the overlap removal, matching of the intensity of images, the techniques used for blending the image. In this paper, the various techniques devised earlier for the image stitching and their applications in the relative places has been reviewed.

Virtual Microscopy as a Learning Tool in Brazilian Medical Education

2021 ◽  
Author(s):  
Fernanda Somera dos Santos ◽  
Mariana Kiomy Osako ◽  
Gleici da Silva Castro Perdoná ◽  
Márcia Gaião Alves ◽  
Katiuchia Uzzun Sales
Keyword(s):  
Medical Education ◽  
Virtual Microscopy ◽  
Learning Tool

Real-Time Panorama and Image Stitching with Surf-Sift Features

2021 ◽  
Author(s):  
Sheshang Degadwala ◽  
Utsho Chakraborty ◽  
Promise Kuri ◽  
Haimanti Biswas ◽  
Ahmed Nur Ali ◽  
...  
Keyword(s):  
Real Time ◽  
Image Stitching ◽  
Sift Features

scholarly journals Interchangeability of light and virtual microscopy for histopathological evaluation of prostate cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Renata Zelic ◽  
Francesca Giunchi ◽  
Luca Lianas ◽  
Cecilia Mascia ◽  
Gianluigi Zanetti ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Virtual Microscopy ◽  
Observer Agreement ◽  
Gleason Grade ◽  
Gleason Grading ◽  
Gleason Pattern ◽  
Inter Observer Variability ◽  
Histopathological Evaluation ◽  
Good Repeatability ◽  
Repeatability And Reproducibility

AbstractVirtual microscopy (VM) holds promise to reduce subjectivity as well as intra- and inter-observer variability for the histopathological evaluation of prostate cancer. We evaluated (i) the repeatability (intra-observer agreement) and reproducibility (inter-observer agreement) of the 2014 Gleason grading system and other selected features using standard light microscopy (LM) and an internally developed VM system, and (ii) the interchangeability of LM and VM. Two uro-pathologists reviewed 413 cores from 60 Swedish men diagnosed with non-metastatic prostate cancer 1998–2014. Reviewer 1 performed two reviews using both LM and VM. Reviewer 2 performed one review using both methods. The intra- and inter-observer agreement within and between LM and VM were assessed using Cohen’s kappa and Bland and Altman’s limits of agreement. We found good repeatability and reproducibility for both LM and VM, as well as interchangeability between LM and VM, for primary and secondary Gleason pattern, Gleason Grade Groups, poorly formed glands, cribriform pattern and comedonecrosis but not for the percentage of Gleason pattern 4. Our findings confirm the non-inferiority of VM compared to LM. The repeatability and reproducibility of percentage of Gleason pattern 4 was poor regardless of method used warranting further investigation and improvement before it is used in clinical practice.

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