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 …

The study addresses the challenging problemof automatic segmentation of the human
anatomy needed for radiation dose calculations. Three-dimensional extensions of two well …

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 …

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 …

The statistical region merging (SRM) method for image segmentation is based on some
solid probabilistic and statistical principles. It produces good segmentation results, and is …

For some images of a single stem cell, the boundary delineating the cell is discontinuous or
blurry at some locations. If the statistical region merging (SRM) method is applied directly on …

The paper studies the feasibility of using 3D extensions of two state-of-the-art segmentation
techniques, the Statistical Region Merging (SRM) method and the Efficient Graph-based …

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 …

D'un point de vue général, les travaux de recherche de cette thèse s' inscrivent dans le
cadre d'une approche globale quiconsiste à extraire des informations relatives aux toitures …

In this paper, we propose a statistical temporal change scheme for early breast cancer
detection. Temporal mammographic data have been found useful to detect changes in the …