Nancy Hitschfeld

TL;DR: This paper presents an improved two-stage framework for detection and segmentation of human sperm head characteristics (including acrosome and nucleus) that uses three different color spaces and proposes a gold-standard built with the cooperation of a referent expert in the field aiming to compare methods for detecting and segmenting sperm cells.

TL;DR: A gold-standard for morphological sperm analysis is described, a dataset of sperm head images with expert-classification labels in one of the following classes: normal, tapered, pyriform, small or amorphous, to provide a standard tool for evaluation of characterization and classification approaches for human sperm heads.

TL;DR: This work proposes a two-stage classification scheme that permits to classify sperm heads among five different classes combining an ensemble strategy for feature selection and a cascade approach with several support vector machines dedicated to the verification of each class.

TL;DR: The triangle improvement properties of the point insertion operations are used to prove that optimal-size triangulations, with smallest-angle greater than or equal to 30° are always produced.

TL;DR: Geo-PUMMA is a GIS toolbox to generate vectorial meshes for terrain representation in distributed hydrological modeling, and to extract drainage patterns in urban and peri-urban catchments.