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Liver Segmentation in Abdominal CT Images by Adaptive 3D Region Growing

2018-02-21 · Shima Rafiei, Nader Karimi, Behzad Mirmahboub, S. M. Reza Soroushmehr, Banafsheh Felfelian, Shadrokh Samavi, Kayvan Najarian

Automatic liver segmentation plays an important role in computer-aided diagnosis and treatment. Manual segmentation of organs is a difficult and tedious task and so prone to human errors. In this paper, we propose an adaptive 3D region growing with subject-specific conditions. For this aim we use the intensity distribution of most probable voxels in prior map along with location prior. We also incorporate the boundary of target organs to restrict the region growing. In order to obtain strong edges and high contrast, we propose an effective contrast enhancement algorithm to facilitate more accurate segmentation. In this paper, 92.56% Dice score is achieved. We compare our method with the method of hard thresholding on Deeds prior map and also with the majority voting on Deeds registration with 13 organs.

📄 PDF Abstract BibTeX arXiv:1802.07794

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Liver Segmentation Segmentation

Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation

2018-08-02 · Minyoung Chung, Jingyu Lee, Minkyung Lee, Jeongjin Lee 외

Objective: Herein, a neural network-based liver segmentation algorithm is proposed, and its performance was evaluated using abdominal computed tomography (CT) images. Methods: A fully convolutional network was developed …

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Liver segmentation in CT images using three dimensional to two dimensional fully convolutional network

2018-02-21 · Shima Rafiei, Ebrahim Nasr-Esfahani, S. M. Reza Soroushmehr, Nader Karimi 외

The need for CT scan analysis is growing for pre-diagnosis and therapy of abdominal organs. Automatic organ segmentation of abdominal CT scan can help radiologists analyze the scans faster and segment organ images with f…

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Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

2020-01-26 · Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer 외

Objective : Abdominal anatomy segmentation is crucial for numerous applications from computer-assisted diagnosis to image-guided surgery. In this context, we address fully-automated multi-organ segmentation from abdomina…

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Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images

2021-06-21 · Liping Zhang, Simon Chun-Ho Yu

Accurate liver and lesion segmentation from computed tomography (CT) images are highly demanded in clinical practice for assisting the diagnosis and assessment of hepatic tumor disease. However, automatic liver and lesio…

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Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation

2017-10-12 · Yading Yuan

Automatic segmentation of liver and its tumors is an essential step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis and assessment of tumor response to treatment. MICCAI …

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