3D imaging of human brain in the diagnostics of insomnia and depression: A comparative analysis, a novel insomnia/depression diagnostics approach, and lessons learned

Ikonen, Tiia; Haataja, Keijo; Toivanen, Pekka

doi:10.1109/isda.2013.6920740

Cited by 4 publications

(2 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We will also research on the ability to combine our previous work with DT OCS and 3D-DT OCS [13,14] with the new mathematical morphology approach. …”

Section: Discussionmentioning

confidence: 99%

Morphological extraction of cancerous nucleus in the diagnostics of breast cancer

Ikonen

Pollanen

Braithwaite

et al. 2015

2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)

Self Cite

View full text Add to dashboard Cite

In this paper, cancerous nucleus is studied from the morphological point of view with focus on the analysis of anisonucleosis, nuclear deformity, hyperchromasia, and nucleocytoplasmic ratio with CAD-based (Computer Assisted Diagnosis) solutions. Mathematical Morphology (MM), more specifically Top-Hat Transform is used together with RGB color channel manipulation to process the histopathologic image to detect and extract nuclei for further analysis. Some preliminary results are presented and they seem to be quite promising in the extraction of nuclei area. The separation of nuclei from other tissue sections is the key component in the analysis of cancerous tissues. Moreover, we will present somenew ideas that will be used in our future research work.

show abstract

“…We will also research on the ability to combine our previous work with DT OCS and 3D-DT OCS [13,14] with the new mathematical morphology approach. …”

Section: Discussionmentioning

confidence: 99%

Morphological extraction of cancerous nucleus in the diagnostics of breast cancer

Ikonen

Pollanen

Braithwaite

et al. 2015

2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, an implementation of a Gabor Filter algorithm will be considered to provide a more throughout information about the properties of a texture primitive. Furthermore, based on our previous work on 3D-DTOCS [14], we will utilize 3D breast cancer images in our future research.…”

Section: Discussionmentioning

confidence: 99%

Computer-assisted image analysis of histopathological breast cancer images using step-DTOCS

Ikonen

Niska

Braithwaite

et al. 2014

2014 14th International Conference on Hybrid Intelligent Systems

Self Cite

View full text Add to dashboard Cite

In this paper, we address the epidemiology and morphology questions of breast cancer with special focus on different cell features created by lesions. In addition, we provide an insight into feature extraction and classification schemes in the image analysis pipeline. Based on our conducted research work, a novel feature extraction approach, a modification of Distance Transform on Curved Space (DTOCS), is proposed for analysis and classification of breast cancer images. The first experimental results suggest that the Step-DTOCS-based MLP-network is capable of discriminating different cell structures in a respectable way. The obtained results are presented and analyzed, and further research ideas are discussed.

show abstract

Nuclei Malignancy Analysis Based on an Adaptive Bottom-Hat Filter

Ikonen

Haataja

Toivanen

et al. 2017

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

3D imaging of human brain in the diagnostics of insomnia and depression: A comparative analysis, a novel insomnia/depression diagnostics approach, and lessons learned

Cited by 4 publications

References 32 publications

Morphological extraction of cancerous nucleus in the diagnostics of breast cancer

Morphological extraction of cancerous nucleus in the diagnostics of breast cancer

Computer-assisted image analysis of histopathological breast cancer images using step-DTOCS

Nuclei Malignancy Analysis Based on an Adaptive Bottom-Hat Filter

Contact Info

Product

Resources

About