An overview of watershed algorithm implementations in open source libraries
AS Kornilov, IV Safonov - Journal of Imaging, 2018 - mdpi.com
Watershed is a widespread technique for image segmentation. Many researchers apply the
method implemented in open source libraries without a deep understanding of its …
method implemented in open source libraries without a deep understanding of its …
[HTML][HTML] Image segmentation, registration and characterization in R with SimpleITK
Image Segmentation, Registration and Characterization in R with SimpleITK - PMC Back to
Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage …
Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage …
Predicting locally advanced rectal cancer response to neoadjuvant therapy with 18F-FDG PET and MRI radiomics features
V Giannini, S Mazzetti, I Bertotto, C Chiarenza… - European journal of …, 2019 - Springer
Purpose Pathological complete response (pCR) following neoadjuvant chemoradiotherapy
or radiotherapy in locally advanced rectal cancer (LARC) is reached in approximately 15 …
or radiotherapy in locally advanced rectal cancer (LARC) is reached in approximately 15 …
Stable mean-shift algorithm and its application to the segmentation of arbitrarily large remote sensing images
Segmentation of real-world remote sensing images is challenging because of the large size
of those data, particularly for very high resolution imagery. However, a lot of high-level …
of those data, particularly for very high resolution imagery. However, a lot of high-level …
Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness
A Vignati, S Mazzetti, V Giannini, F Russo… - Physics in Medicine …, 2015 - iopscience.iop.org
To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture
features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion …
features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion …
Workflows for microscopy image analysis and cellular phenoty**
In large scale biological experiments, like high-throughput or high-content cellular
screening, the amount and the complexity of images to be analyzed are steadily increasing …
screening, the amount and the complexity of images to be analyzed are steadily increasing …
A web-based automated image processing research platform for cochlear implantation-related studies
The robust delineation of the cochlea and its inner structures combined with the detection of
the electrode of a cochlear implant within these structures is essential for envisaging a safer …
the electrode of a cochlear implant within these structures is essential for envisaging a safer …
Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis
Diffusion weighted magnetic resonance imaging, or DWI, is one of the most promising tools
for the analysis of neural microstructure and the structural connectome of the human brain …
for the analysis of neural microstructure and the structural connectome of the human brain …
Improving microstructural quantification in FIB/SEM nanotomography
Abstract FIB/SEM nanotomography (FIB-nt) is a powerful technique for the determination
and quantification of the three-dimensional microstructure in subsurface features. Often …
and quantification of the three-dimensional microstructure in subsurface features. Often …
Evaluation of deformable image registration methods for dose monitoring in head and neck radiotherapy
In the context of head and neck cancer (HNC) adaptive radiation therapy (ART), the two
purposes of the study were to compare the performance of multiple deformable image …
purposes of the study were to compare the performance of multiple deformable image …