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Found 9 papers, 0 papers with code
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics
Visual attribution in medical imaging seeks to make evident the diagnostically-relevant components of a medical image, in contrast to the more common detection of diseased tissue deployed in standard machine vision pipelines (which are less straightforwardly interpretable/explainable to clinicians).
Automatic Delineation of Kidney Region in DCE-MRI
To address this issue, we present Dynamic Mode Decomposition (DMD) coupled with thresholding and blob analysis as a framework for automatic delineation of the kidney region.
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
Traditionally, human experts are required to manually delineate the kidney ROI across multiple images in the dynamic sequence.
"Flow Size Difference" Can Make a Difference: Detecting Malicious TCP Network Flows Based on Benford's Law
In this paper, we present the application of Benford's law to a new network flow metric "flow size difference", which have not been studied before by other researchers, to build an unsupervised flow-based intrusion detection system (IDS).
Visualisation of Survey Responses using Self-Organising Maps: A Case Study on Diabetes Self-care Factors
Due to the chronic nature of diabetes, patient self-care factors play an important role in any treatment plan.
Can DMD obtain a Scene Background in Color?
A background model describes a scene without any foreground objects and has a number of applications, ranging from video surveillance to computational photography.
Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate
While this approach works for individual patients, the time consuming nature of it precludes the quick evaluation of risk in large numbers of patients.
Data Mining of Causal Relations from Text: Analysing Maritime Accident Investigation Reports
Text mining is a process of extracting information of interest from text.
Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses
Diabetes is considered a lifestyle disease and a well managed self-care plays an important role in the treatment.
