Computational anatomy for multi-organ analysis in medical imaging: A review

JJ Cerrolaza, ML Picazo, L Humbert, Y Sato… - Medical image …, 2019 - Elsevier
The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …

Automatic liver segmentation using an adversarial image-to-image network

D Yang, D Xu, SK Zhou, B Georgescu, M Chen… - … Image Computing and …, 2017 - Springer
Automatic liver segmentation in 3D medical images is essential in many clinical
applications, such as pathological diagnosis of hepatic diseases, surgical planning, and …

Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network

H Kim, J Jung, J Kim, B Cho, J Kwak, JY Jang, S Lee… - Scientific reports, 2020 - nature.com
Segmentation of normal organs is a critical and time-consuming process in radiotherapy.
Auto-segmentation of abdominal organs has been made possible by the advent of the …

Artificial intelligence in assessment of hepatocellular carcinoma treatment response

B Spieler, C Sabottke, AW Moawad, AM Gabr… - Abdominal …, 2021 - Springer
Artificial Intelligence (AI) continues to shape the practice of radiology, with imaging of
hepatocellular carcinoma (HCC) being of no exception. This article prepared by members of …

Multi-organ segmentation based on spatially-divided probabilistic atlas from 3D abdominal CT images

C Chu, M Oda, T Kitasaka, K Misawa… - … Image Computing and …, 2013 - Springer
This paper presents an automated multi-organ segmentation method for 3D abdominal CT
images based on a spatially-divided probabilistic atlases. Most previous abdominal organ …

Tumor burden analysis on computed tomography by automated liver and tumor segmentation

MG Linguraru, WJ Richbourg, J Liu… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
The paper presents the automated computation of hepatic tumor burden from abdominal
computed tomography (CT) images of diseased populations with images with inconsistent …

Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT

MG Linguraru, JA Pura, V Pamulapati… - Medical image …, 2012 - Elsevier
The interpretation of medical images benefits from anatomical and physiological priors to
optimize computer-aided diagnosis applications. Diagnosis also relies on the …

Risk assessment of computer-aided diagnostic software for hepatic resection

Y Akhtar, SP Dakua, A Abdalla… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In this article, we study the indirect relationship between the adoption of computer-aided
detection or diagnostic (CADe or CADx) systems for hepatic resection (HR) and the patient's …

Shape–intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images

J Wang, Y Cheng, C Guo, Y Wang… - International journal of …, 2016 - Springer
Purpose Propose a fully automatic 3D segmentation framework to segment liver on
challenging cases that contain the low contrast of adjacent organs and the presence of …

Spleen enlargement assessment using computed tomography: which coefficient correlates the strongest with the real volume of the spleen?

I Kucybała, S Ciuk, J Tęczar - Abdominal Radiology, 2018 - Springer
Purpose The aim of the study was to find which linear measurements, field and volume
coefficients correlate the best with real volume of the spleen and can be further used for …