A lightweight convolutional neural network model for liver segmentation in medical diagnosis
Liver segmentation and recognition from computed tomography (CT) images is a warm topic
in image processing which is helpful for doctors and practitioners. Currently, many deep …
in image processing which is helpful for doctors and practitioners. Currently, many deep …
Convolutional-neural-network-based feature extraction for liver segmentation from CT images
Over the last few years, major breakthroughs were achieved in the application of deep
learning in many computer vision tasks, such as image classification and segmentation. The …
learning in many computer vision tasks, such as image classification and segmentation. The …
Automatic Intrahepatic Biliary Segmentation Based Image Processing Techniques using Magnetic Resonance Images
MA AL-Oudat, MAL Oudat, H Migdady, TAL Munaizel… - 2020 - researchsquare.com
A set of tubes known as bile ducts connects the liver to an organ below it directly that is
called Gallbladder. The dilation of a bile duct is an important indicator regarding any serious …
called Gallbladder. The dilation of a bile duct is an important indicator regarding any serious …
Cascading Multi-Granular Attention for Meticulous Liver Vessel Segmentation
Z Gao, M Wang, Z Zhang, J Hu, D Huang, X Xu… - Available at SSRN … - papers.ssrn.com
Segmentation of liver vessels is essential to disease diagnosis and surgical planning.
However, the segmentation performance of existing models could be more satisfactory due …
However, the segmentation performance of existing models could be more satisfactory due …
[PDF][PDF] Diagnosis of Liver Disease Using Machine Learning
H Gadhe, N Kolapkar, R Kakad, MN Sankpal - academia.edu
Liver diseases are becoming more prevalent and can cause significant morbidity and
mortality. The identification of liver maladies is a pivotal medical procedure that can have a …
mortality. The identification of liver maladies is a pivotal medical procedure that can have a …