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We consider a task of classifying normal and pathological brain networks. These networks (called connectomes) represent macroscale connections between predefined brain regions, hence, the nodes of connectomes are uniquely labeled and the set of labels (brain regions) is the same across different brains. We make use of this property and hypothesize that connectomes obtained from normal and pathological...
The number of woman with cervical cancer in Indonesia is getting higher. Indonesia becomes the country with the highest number of women with cervical cancer in the world. Cervical cancer became the highest cause of cancer deaths in women globally. There has been a lot of research using data mining techniques with variety of different data mining models that can be used for analyzing cervical cancer...
In our study we present a method to identity pathological voices using Support Vector Machines (SVM). Speech signals were sampled from the sustained vowel /a/ pronounced by 160 subjects (80 female and 80 male), including 80 speakers (40 women and 40 men) suffered from various dysphonias (such as acute laryngitis, adductor spasmodic, vocal fatigue, vocal tremor, vocal fold edema, laryngeal paralysis…),...
Ultrasound (US) imaging is more popular as a diagnostic tool than magnetic resonance imaging (MRI) and computerized tomography (CT) because it is inexpensive and easy to use. Most lymph nodes (LN) tend to have various internal echogenicities in the sonogram, which makes a definite diagnosis difficult. If the characteristic echogenicities for the major components of the lymph node can be identified,...
Accurate grading for prostatic carcinoma in pathological images is important to prognosis and treatment planning. Since human grading is always time-consuming and subjective, this paper presents a computer-aided system to automatically grade pathological images according to Gleason grading system which is the most widespread method for histological grading of prostate tissues. We proposed two feature...
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