[HTML][HTML] The liver tumor segmentation benchmark (lits)
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark
(LiTS), which was organized in conjunction with the IEEE International Symposium on …
(LiTS), which was organized in conjunction with the IEEE International Symposium on …
Deep learning techniques in liver tumour diagnosis using CT and MR imaging-A systematic review
B Lakshmipriya, B Pottakkat, G Ramkumar - Artificial Intelligence in …, 2023 - Elsevier
Deep learning has become a thriving force in the computer aided diagnosis of liver cancer,
as it solves extremely complicated challenges with high accuracy over time and facilitates …
as it solves extremely complicated challenges with high accuracy over time and facilitates …
Comparison and evaluation of methods for liver segmentation from CT datasets
This paper presents a comparison study between 10 automatic and six interactive methods
for liver segmentation from contrast-enhanced CT images. It is based on results from the …
for liver segmentation from contrast-enhanced CT images. It is based on results from the …
Automated abdominal multi-organ segmentation with subject-specific atlas generation
R Wolz, C Chu, K Misawa, M Fujiwara… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
A robust automated segmentation of abdominal organs can be crucial for computer aided
diagnosis and laparoscopic surgery assistance. Many existing methods are specialized to …
diagnosis and laparoscopic surgery assistance. Many existing methods are specialized to …
[KİTAP][B] Guide to medical image analysis
KD Toennies - 2017 - Springer
The methodology presented in the first edition was considered established practice or
settled science in the medical image analysis community in 2010–2011. Progress in this …
settled science in the medical image analysis community in 2010–2011. Progress in this …
Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography
Computed tomography (CT) imaging remains the most utilized modality for liver-related
cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature …
cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature …
[KİTAP][B] Visual computing for medicine: theory, algorithms, and applications
Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …
and their applications in medical diagnosis, education, and treatment. The book includes …
[HTML][HTML] Discriminative dictionary learning for abdominal multi-organ segmentation
An automated segmentation method is presented for multi-organ segmentation in abdominal
CT images. Dictionary learning and sparse coding techniques are used in the proposed …
CT images. Dictionary learning and sparse coding techniques are used in the proposed …
[PDF][PDF] Shape constrained automatic segmentation of the liver based on a heuristic intensity model
We present a fully automatic 3D segmentation method for the liver from contrast-enhanced
CT data. It is based on a combination of a constrained free-form and statistical deformable …
CT data. It is based on a combination of a constrained free-form and statistical deformable …
Fully automatic liver and tumor segmentation from CT image using an AIM-Unet
The segmentation of the liver is a difficult process due to the changes in shape, border, and
density that occur in each section in computed tomography (CT) images. In this study, the …
density that occur in each section in computed tomography (CT) images. In this study, the …