Ultrasound object detection using morphological region-based active contour: an application system
Penulis/Author
ANAN NUGROHO (1); Prof. Dr. Ir. Risanuri Hidayat, M.Sc., IPM. (2); Prof. Ir. Hanung Adi Nugroho, S.T., M.Eng., Ph.D., IPM., SMIEEE. (3); Johan Debayle (4)
Tanggal/Date
2021
Kata Kunci/Keyword
Abstrak/Abstract
Ultrasound (US) is intensively employed as a screening tool for
suspicious objects such as breast lesions and thyroid nodules. Avoiding the
subjectivity radiologists and to overcome high variability of US interpretations,
technological innovations in computer aided diagnosis or CAD are massively
developed. Automation and accuracy in object detection and segmentation
techniques as the core of CAD are becoming prestigious knowledge creations in
the current industrial revolution 4.0. In this paper, an application system of
morphological region-based active contour called MoRbAC is presented to
automatically detect the suspicious US objects. The proposed MoRbAC
application was validated by applying it to detect breast lesions and thyroid
nodules on 20 real US images. Quantitative measurements based on overlapping
area compared to referred ground truth achieve an average accuracy of up to
98.58±1.15% with an average execution time i.e 2.38±0.89 seconds. This
promising performance indicates that MoRbAC is effective and efficient for
CAD systems.
Rumpun Ilmu
Teknik Elektro
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
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