Zobrazeno 1 - 10
of 22
pro vyhledávání: '"C. M. Sujatha"'
Autor:
C. M. Sujatha, S. Sivaranjini
Publikováno v:
Cogn Neurodyn
Cognitive impairment in Parkinson's Disease (PD) is the most prevalent non-motor symptom that requires analysis of anatomical associations to cognitive decline in PD. The objective of this study is to analyse the morphological variations of the subco
Autor:
C. M. Sujatha, S. Sivaranjini
Publikováno v:
Multimedia Tools and Applications. 79:15467-15479
Parkinson’s disease is the second most common degenerative disease caused by loss of dopamine producing neurons. The substantia nigra region is deprived of its neuronal functions causing striatal dopamine deficiency which remains as hallmark in Par
Autor:
Abinaya Sundari R, C M Sujatha
Publikováno v:
2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII).
Schizophrenia is a severe psychiatric illness that greatly affects the quality of life. Early discovery of psychiatric onset and progression are of great significance for bestowing effective treatment to prevent or mitigate further degeneration in th
Autor:
C. M. Sujatha, S. Prabha
Publikováno v:
Infrared Physics & Technology. 93:316-325
Clustering analysis of medical infrared images is found to be very effective for extracting local information, which helps to identify the abnormalities associated with region of interest. Breast tissue extraction in breast thermograms is challenging
Autor:
Ramesh M, C. M Sujatha
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 7:124-131
Autor:
S Sivaranjini, C M Sujatha
Publikováno v:
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII).
Parkinson's disease being a neurodegenerative disorder commonly seen in older age group has become an alarming health issue. The reduced dopaminergic activity in the striatum region leads to serious complications when not diagnosed at the early stage
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811090585
Asymmetry analysis of thermal images plays a prominent role in automated diagnosis of normal and abnormal breast tissues. Accurate segmentation of breast tissues further enhances the analysis. In this work, asymmetry analysis of breast thermal images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63efee3d058ff1563a112cc4594aa8d8
https://doi.org/10.1007/978-981-10-9059-2_2
https://doi.org/10.1007/978-981-10-9059-2_2
Publikováno v:
2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII).
Breast cancer is the leading cancer that affects women in the world. Early diagnosis of cancer prevents morbidity and mortality rate. Thermography is an additional tool for early diagnosis of breast cancer. Low contrast, poor Signal to Noise Ratio (S
Publikováno v:
Biomedical sciences instrumentation. 51
Breast thermography plays a major role in early detection of breast cancer in which the thermal variations are associated with precancerous state of breast. The distribution of asymmetrical thermal patterns indicates the pathological condition in bre
Publikováno v:
Biomedical sciences instrumentation. 51
In this work, the ventricles in MR brain images are segmented using edge based modified Distance Regularized Level Set Evolution (DRLSE) method and the structural changes in the disease is further analysed using Minkowski functionals (MFs). Twenty no