Publications by authors named "W Wober"

Recent progress in machine learning and deep learning has enabled the implementation of plant and crop detection using systematic inspection of the leaf shapes and other morphological characters for identification systems for precision farming. However, the models used for this approach tend to become black-box models, in the sense that it is difficult to trace characters that are the base for the classification. The interpretability is therefore limited and the explanatory factors may not be based on reasonable visible characters.

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Visual characteristics are among the most important features for characterizing the phenotype of biological organisms. Color and geometric properties define population phenotype and allow assessing diversity and adaptation to environmental conditions. To analyze geometric properties classical morphometrics relies on biologically relevant landmarks which are manually assigned to digital images.

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The aim of the present investigation was to compare the efficacy and tolerability of azelastine (CAS 58581-89-8) (1.12 mg/day) and levocabastine (CAS 79547-78-7) (0.4 mg/day) nasal spray administered twice daily to patients with seasonal allergic rhinitis.

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Adverse events, particularly gastrointestinal, partially offset the therapeutic value of NSAIDs. The abilities of nimesulide to inhibit COX-2 preferentially and to exert other novel anti-inflammatory actions are consistent with good efficacy and safety. This is borne out by a double-blind multicentre comparison of nimesulide and diclofenac in 122 patients with acute shoulder, and by a meta-analysis of various nimesulide trials.

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The efficacy and tolerability of nimesulide, a non-steroidal anti-inflammatory drug (NSAID) 100 mg twice daily were compared with diclofenac 75 mg b.i.d.

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