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Automated delineation of non-small cell lung cancer

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10278-013-9622-7openalex-snapshot

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

inferredcites →https://doi.org/10.1016/j.media.2015.02.002openalex-snapshot

Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset

inferredcites →https://doi.org/10.1088/1742-6596/694/1/012043openalex-snapshot

Segmentation of solid subregion of high grade gliomas in MRI images based on active contour model (ACM)

inferredcites →https://doi.org/10.1109/cgiv.2016.32openalex-snapshot

Evolutionary Algorithm for Segmentation of Medical Images by Region Rrowing

inferredcites →https://doi.org/10.1109/msmw.2016.7537995openalex-snapshot

Automatic Lung nodule segmentation and classification in CT images based on SVM

inferredcites →https://doi.org/10.1109/tip.2013.2282899openalex-snapshot

A Novel Approach for Lung Nodules Segmentation in Chest CT Using Level Sets

inferredcites →https://doi.org/10.1117/12.2217291openalex-snapshot

A neural network approach to lung nodule segmentation

inferredcites →https://doi.org/10.1118/1.4728979openalex-snapshot

Interactive semiautomatic contour delineation using statistical conditional random fields framework

inferredcites →https://doi.org/10.1120/jacmp.v17i3.6088openalex-snapshot

Comparison of manual and automatic MR‐CT registration for radiotherapy of prostate cancer

inferredcites →https://doi.org/10.1177/0954411915619951openalex-snapshot

Three-dimensional lung nodule segmentation and shape variance analysis to detect lung cancer with reduced false positives

inferredcites →https://doi.org/10.1259/bjr.20110718openalex-snapshot

Automated delineation of radiotherapy volumes: are we going in the right direction?

inferredcites →https://doi.org/10.2967/jnumed.110.077974openalex-snapshot

Autocontouring and Manual Contouring: Which Is the Better Method for Target Delineation Using 18F-FDG PET/CT in Non–Small Cell Lung Cancer?

inferredcites →https://doi.org/10.3233/ica-2011-0362openalex-snapshot

The 17th International Conference on Systems, Signals and Image Processing (IWSSIP)

inferredcites →https://doi.org/10.7937/k9/tcia.2015.pf0m9reiopenalex-snapshot

Data From NSCLC-Radiomics

inferredcites →https://doi.org/10.9790/5728-10440107openalex-snapshot

Segmentation of Medical Images Using Topological Concepts Based Region Growing Method

What points at this work

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inferred← citeshttps://doi.org/10.1101/341156openalex-snapshot

A hybrid mortality prediction model of patients with cavitary pulmonary carcinomas

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