Data Mining Practical Machine Learning Tools and Techniques

Measuring the Strangeness of Strange Attractors

Acts in what Hutchinson (1965) has called the 'ecological theatre' are played out on various scales of space and time. To understand the drama, we must view it on the appropriate scale. Plant ecologists long ago recognized the importance of sampling scale in their descriptions of the dispersion or distribution of species (e.g. Greig-Smith, 1952). However, many ecologists have behaved as if patterns and the processes that produce them are insensitive to differences in scale and have designed their studies with little explicit attention to scale. Kareiva & Andersen (1988) surveyed nearly 100 field experiments in community ecology and found that half were conducted on plots no larger than 1 m in diameter, despite considerable differences in the sizes and types of organisms studied. Investigators addressing the same questions have often conducted their studies on quite different scales. Not surprisingly, their findings have not always matched, and arguments have ensued. The disagreements among conservation biologists over the optimal design of nature reserves (see Simberloff, 1988) are at least partly due to a failure to appreciate scaling differences among organisms. Controversies about the role of competition in structuring animal communities (Schoener, 1982; Wiens, 1983, 1989) or about the degree of coevolution in communities (Connell, 1980; Roughgarden, 1983) may reflect the

https://www.jstor.org/stable/info/2389612

Spatial Scaling in Ecology

Thirty-seven programs that summarize data with histograms and other graphics, calculate measures of spatial continuity, provide smooth least-squares-type maps, and perform stochastic spatial simulation.

GSLIB: Geostatistical Software Library and User's Guide

https://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(06)68880-6.pdf

Mild cognitive impairment

An $$\bar \varepsilon $$ - Perturbation of Brouwer’s definition of degree

We describe a hybrid approach to the volumetry of intracerebral and entire intracranial cerebrospinal fluid (CSF) spaces, combining two imaging techniques Ultra-fast and reproducible quantification of intracranial liquor volumes is carried out based on T 2 -weighted magnetic resonance (MR) images Isotropic T 1 -weighted data are used as a basis for robust semi-automatic three-dimensional segmentation procedures Variability of the proposed method, including image acquisition, is evaluated on volunteers and phantoms to be well below 2% The total time required for image analysis including interaction is below 5 min

MRI-based volumetry of intra- and extracerebral liquor spaces

Wir prasentieren Methoden zur Vermessung in 3d- Visualisierungen von medizinischen Volumendaten, die der Planung von Operationen, speziell der Resektion von Weichteiltumoren, dienen. Im Vordergrund steht die Vermessung von Distanzen, z.B. zwischen Risikostrukturen und krankhaften Veranderungen. Daruber hinaus werden wichtige Vermessungsaufgaben identifiziert, die einer weitestgehenden Automatisierung bedurfen. Darauf aufbauend wird beschrieben, wie minimale Abstande und die Objektausdehnung automatisch bestimmt werden. Die vorgestellten Interaktionstechniken setzen voraus, dass die relevanten Strukturen zuvor segmentiert wurden.

Interaktive und automatische Vermessung von 3d-Visualisierungen für die Planung chirurgischer Eingriffe

We describe a software system that helps both to determine anatomically correct and surgically realizable resection territories and to plan minimally invasive interventions for cases that are impracticable for surgery.

Heinz-Otto Peitgen

Papers

An $$\bar \varepsilon $$ - Perturbation of Brouwer’s definition of degree

MRI-based volumetry of intra- and extracerebral liquor spaces

Interaktive und automatische Vermessung von 3d-Visualisierungen für die Planung chirurgischer Eingriffe

Planning of anatomical resections and in situ ablations in oncologic liver surgery

Fusion of MR coronary angiography and viability imaging: feasibility and clinical value for the assignment of myocardial infarctions.