Computational anatomy for multi-organ analysis in medical imaging: A review
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 …
organ-, and disease-specific methods. Recently, the interest in the development of more …
Modified U-Net for fully automatic liver segmentation from abdominal CT-image
Liver volume estimation using segmentation is the first step for liver diagnosis and its
therapeutic planning. Liver segmentation from an abdominal CT image has always been a …
therapeutic planning. Liver segmentation from an abdominal CT image has always been a …
Hybrid 3D Medical Image Segmentation Using CNN and Frequency Transformer Fusion
I Labbihi, O El Meslouhi, ZEA Elassad… - Arabian Journal for …, 2024 - Springer
Medical image segmentation poses a significant challenge, particularly with 3D images. This
study presents a novel hybrid network for 3D medical image segmentation, which …
study presents a novel hybrid network for 3D medical image segmentation, which …
Automated segmentation of optic disc using statistical region merging and morphological operations
Abstract Accurate Optic Disc (OD) segmentation is vital in designing systems that aid the
diagnosis and evaluation of early phases of retinal diseases. However, in many images, the …
diagnosis and evaluation of early phases of retinal diseases. However, in many images, the …
SRM superpixel merging framework for precise segmentation of cervical nucleus
Cervical nuclei contain important diagnostic characteristics useful for identifying abnormality
in cervical cells. Therefore, an accurate segmentation of nuclei is the primary step in …
in cervical cells. Therefore, an accurate segmentation of nuclei is the primary step in …
Fully automated tissue classifier for contrast-enhanced CT scans of adult and pediatric patients
E Somasundaram, J Deaton… - Physics in Medicine & …, 2018 - iopscience.iop.org
Fully automated tissue classifier for contrast-enhanced CT scans of adult and pediatric patients
- IOPscience Skip to content IOP Science home Accessibility Help Search Journals Journals list …
- IOPscience Skip to content IOP Science home Accessibility Help Search Journals Journals list …
Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry
The segmentation of CT images to produce a computational model of anatomy is a time-
consuming and laborious process. Here we report a time saving semi-automatic approach …
consuming and laborious process. Here we report a time saving semi-automatic approach …
Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT
Statistical Region Merging technique belongs to the portfolio of very successful image
segmentation methods across diverse domains and applications. The method is based on a …
segmentation methods across diverse domains and applications. The method is based on a …
Circular shape prior in efficient graph based image segmentation to segment nucleus
A graph based segmentation approach is proposed in this study to segment nucleus from
cytology images. This approach utilizes a novel method applying weighted circular shape …
cytology images. This approach utilizes a novel method applying weighted circular shape …
Model-guided segmentation of liver in CT and PET-CT images of child patients based on statistical region merging
The paper introduces a novel model-guided method for liver segmentation in CT and PET-
CT images. Using a model liver volume as a template and a liver shape annotated in one of …
CT images. Using a model liver volume as a template and a liver shape annotated in one of …