Statistical shape models for 3D medical image segmentation: a review
T Heimann, HP Meinzer - Medical image analysis, 2009 - Elsevier
Statistical shape models (SSMs) have by now been firmly established as a robust tool for
segmentation of medical images. While 2D models have been in use since the early 1990s …
segmentation of medical images. While 2D models have been in use since the early 1990s …
Ultrasound image segmentation: a survey
This paper reviews ultrasound segmentation methods, in a broad sense, focusing on
techniques developed for medical B-mode ultrasound images. First, we present a review of …
techniques developed for medical B-mode ultrasound images. First, we present a review of …
Minimization of region-scalable fitting energy for image segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable
difficulties in image segmentation. In order to overcome the difficulties caused by intensity …
difficulties in image segmentation. In order to overcome the difficulties caused by intensity …
Implicit active contours driven by local binary fitting energy
Local image information is crucial for accurate segmentation of images with intensity
inhomogeneity. However, image information in local region is not embedded in popular …
inhomogeneity. However, image information in local region is not embedded in popular …
A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape
Since their introduction as a means of front propagation and their first application to edge-
based segmentation in the early 90's, level set methods have become increasingly popular …
based segmentation in the early 90's, level set methods have become increasingly popular …
VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images
Vertebral labelling and segmentation are two fundamental tasks in an automated spine
processing pipeline. Reliable and accurate processing of spine images is expected to …
processing pipeline. Reliable and accurate processing of spine images is expected to …
A shape-based approach to the segmentation of medical imagery using level sets
We propose a shape-based approach to curve evolution for the segmentation of medical
images containing known object types. In particular, motivated by the work of Leventon …
images containing known object types. In particular, motivated by the work of Leventon …
i3dmm: Deep implicit 3d morphable model of human heads
We present the first deep implicit 3D morphable model (i3DMM) of full heads. Unlike earlier
morphable face models it not only captures identity-specific geometry, texture, and …
morphable face models it not only captures identity-specific geometry, texture, and …
An automatic learning-based framework for robust nucleus segmentation
Computer-aided image analysis of histopathology specimens could potentially provide
support for early detection and improved characterization of diseases such as brain tumor …
support for early detection and improved characterization of diseases such as brain tumor …
Geodesic active regions and level set methods for supervised texture segmentation
This paper presents a novel variational framework to deal with frame partition problems in
Computer Vision. This framework exploits boundary and region-based segmentation …
Computer Vision. This framework exploits boundary and region-based segmentation …