Abstract
In this work, a computer-aided tool for detection was developed to segment breast masses from clinical ultrasound (US) scans. The underlying Multi U-net algorithm is based on convolutional neural networks. Under the Mayo Clinic Institutional Review Board protocol, a prospective study of the automatic segmentation of suspicious breast masses was performed. The cohort consisted of 258 female patients who were clinically identified with suspicious breast masses and underwent clinical US scan and breast biopsy. The computer-aided detection tool effectively segmented the breast masses, achieving a mean Dice coefficient of 0.82, a true positive fraction (TPF) of 0.84, and a false positive fraction (FPF) of 0.01. By avoiding positioning of an initial seed, the algorithm is able to segment images in real time (13-55 ms per image), and can have potential clinical applications. The algorithm is at par with a conventional seeded algorithm, which had a mean Dice coefficient of 0.84 and performs significantly better (P< 0.0001) than the original U-net algorithm.
References
Aug 1, 1993·Radiology·V P JacksonD B Kopans
Jan 10, 1998·AJR. American Journal of Roentgenology·P Skaane, K Engedal
Jul 2, 1998·AJR. American Journal of Roentgenology·L LibermanD D Dershaw
Aug 1, 2002·Medical Physics·Karen DrukkerEllen B Mendelson
Apr 29, 2003·IEEE Transactions on Medical Imaging·Anant Madabhushi, Dimitris N Metaxas
Jul 25, 2003·Ultrasound in Medicine & Biology·Dar-Ren ChenWen-Lin Wu
Dec 5, 2003·Ultrasound in Medicine & Biology·Ruey Feng ChangDar Ren Chen
Feb 5, 2005·Breast Cancer Research and Treatment·Ruey-Feng ChangDar-Ren Chen
Dec 24, 2005·Medical Physics·T W CaryC M Sehgal
Jun 24, 2009·Medical Physics·Jing CuiJiazheng Shi
Aug 31, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Chunming LiMartin D Fox
Sep 14, 2010·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Sughra RazaRobyn L Birdwell
Jan 22, 2011·Journal of Oncology·Lawrence N ShulmanFelicia M Knaul
Nov 23, 2011·Ultrasound in Medicine & Biology·Jia-Wei TianXiang-Long Tang
Dec 14, 2011·International Journal of Emergency Medicine·Stephanie SippelSachita Shah
Jan 13, 2012·Journal of Digital Imaging·Yan LiuXianglong Tang
Feb 24, 2012·AJR. American Journal of Roentgenology·Cristina M CheckaHildegard Toth
Jan 7, 2015·CA: a Cancer Journal for Clinicians·Rebecca L SiegelAhmedin Jemal
Oct 27, 2015·JAMA : the Journal of the American Medical Association·Nancy L Keating, Lydia E Pace
Aug 17, 2016·Ultrasonics·Qi ZhangHairong Zheng
Citations
Jun 4, 2020·Biology Open·Sarah H CarlMarc Bühler
Mar 20, 2019·Japanese Journal of Radiology·Tomoyuki FujiokaUkihide Tateishi
Jan 8, 2021·Frontiers in Oncology·Naoshi Nishida, Masatoshi Kudo
Dec 10, 2020·Diagnostics·Tomoyuki FujiokaUkihide Tateishi
Jan 13, 2021·Ultrasonography·Jaeil KimWon Hwa Kim
Jul 3, 2021·Biomedicines·Masaaki KomatsuRyuji Hamamoto
May 31, 2021·Medical Physics·Ke WangYu Zhang
Aug 10, 2021·Frontiers in Oncology·Yu-Meng LeiChristoph F Dietrich
Oct 16, 2020·Computers in Biology and Medicine·Wilfrido Gómez-Flores, Wagner Coelho de Albuquerque Pereira