AIMC Topic: Diagnosis, Computer-Assisted

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Multimodal manifold-regularized transfer learning for MCI conversion prediction.

Brain imaging and behavior
As the early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) has high chance to convert to AD. Effective prediction of such conversion from MCI to AD is of great importance for early diagnosis of AD and also for evaluating AD risk ...

SVM-Based CAC System for B-Mode Kidney Ultrasound Images.

Journal of digital imaging
The present study proposes a computer-aided classification (CAC) system for three kidney classes, viz. normal, medical renal disease (MRD) and cyst using B-mode ultrasound images. Thirty-five B-mode kidney ultrasound images consisting of 11 normal im...

Applying machine learning to facilitate autism diagnostics: pitfalls and promises.

Journal of autism and developmental disorders
Machine learning has immense potential to enhance diagnostic and intervention research in the behavioral sciences, and may be especially useful in investigations involving the highly prevalent and heterogeneous syndrome of autism spectrum disorder. H...

Automatic Wheezing Detection Based on Signal Processing of Spectrogram and Back-Propagation Neural Network.

Journal of healthcare engineering
Wheezing is a common clinical symptom in patients with obstructive pulmonary diseases such as asthma. Automatic wheezing detection offers an objective and accurate means for identifying wheezing lung sounds, helping physicians in the diagnosis, long-...

Robust automatic breast cancer staging using a combination of functional genomics and image-omics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Breast cancer is one of the leading cancers worldwide. Precision medicine is a new trend that systematically examines molecular and functional genomic information within each patient's cancer to identify the patterns that may affect treatment decisio...

Acute appendicitis diagnosis using artificial neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Artificial neural networks is one of pattern analyzer method which are rapidly applied on a bio-medical field.

Multiple fuzzy c-means clustering algorithm in medical diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: In recent years, the use of the fuzzy c-means (FCM) clustering techniques in medical diagnosis has steadily increased, because of its effectiveness in recognizing systems in the medical database to help medical experts diagnosing diseases...

Agent-based intelligent medical diagnosis system for patients.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: According to the analysis of the challenges faced by the current public health circumstances such as the sharp increase in elderly patients, limited medical personnel, resources and technology, the agent-based intelligent medical diagnosi...

A method for knowledge acquisition in diagnostic expert system.

Technology and health care : official journal of the European Society for Engineering and Medicine
Knowledge acquisition plays very important role in the diagnostic expert system. It usually takes a long period to acquire disease knowledge using the traditional methods. To solve this problem, this paper describes relations between rough set theory...