Design of Cost Efficient VBIR Technique Using ICA and IVCA

• Published in: SN computer science Vol. 5; no. 5; p. 560
• Main Authors: Pradeep Kumar, B. P., Srinidhi, N. N., Shiva Darshan, S. L., Naresh, E.
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.06.2024; Springer Nature B.V
• Subjects: AI Based Internet of Healthcare: Analysis and Future Perspectives; Blood vessels; Cancer therapies; Cluster analysis; Clustering; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Contrast agents; Data Structures and Information Theory; Disease; Image analysis; Image contrast; Image databases; Image enhancement; Image retrieval; Independent component analysis; Information retrieval; Information seeking behavior; Information Systems and Communication Service; Magnetic resonance imaging; Measurement techniques; Medical diagnosis; Medical imaging; Original Research; Patients; Pattern Recognition and Graphics; Permeability; Pharmacokinetics; Prostate cancer; R&D; Radiation; Recall; Research & development; Retrieval; Software Engineering/Programming and Operating Systems; Time lag; Tomography; Tumors; Uniqueness; Vector quantization; Vision; Computed tomography; Magnetic resonance imaging; Visual-based image retrieval; Adaptive complex independent components analysis; Dynamic contrast enhancement

With an emphasis on early-stage contrast agent transit through tumour vasculature, this study presents Adaptive Complex Independent Components Analysis (ACICA) as a unique method for evaluating intravascular responsiveness in prostatic tissue. Furthermore, a new SVM clustering method is introduced t...