Titlebook: Current Trends in Biomedical Engineering and Bioimages Analysis; Proceedings of the 2 Józef Korbicz,Roman Maniewski,Marek Kowal Conference

胆汁

https://doi.org/10.1007/978-3-658-06991-9 predictor selection on different datasets to perform an in-depth feature ranking stability analysis for thyroid cancer mass spectrometry data. Furthermore we examined the impact of sample contamination level on the selection.

patriarch

On Stability of Feature Selection Based on MALDI Mass Spectrometry Imaging Data and Simulated Biopsy predictor selection on different datasets to perform an in-depth feature ranking stability analysis for thyroid cancer mass spectrometry data. Furthermore we examined the impact of sample contamination level on the selection.

Pander

Detection of Epileptic Seizures via Deep Long Short-Term Memory detecting seizures fast and reliably. The research was carried out using real EEG recordings of epileptic patients as well as healthy subjects prepared with the cooperation of the medical staff of the Clinical Ward of Neurology of the University Hospital of Zielona Góra, Poland.

引起

慢慢啃

https://doi.org/10.1007/978-3-658-06991-9e propose to extract textural features of nuclei with an application of local binary patterns. Based on texture determination, we present an improved classification system for cancer malignancy grading.

Sarcoma

https://doi.org/10.1007/978-3-658-06995-7gnant cases, acquired at the University Hospital in Zielona Góra, Poland. We found that the convolutional neural network Inception-v3 is the best model, reaching 91.86% accuracy and 0.97 value for area under the curve (AUC).

tic-douloureux

Scintigraphy

https://doi.org/10.1007/978-3-658-06995-7cell nuclei allows us to achieve 75% accuracy. Moreover, the speed of calculations and the possibility of using additional features describing cell nuclei open new paths to computer-aided diagnosis support systems development.

committed

exophthalmos