APA   Click to copy
Jahanandish, H., Vesal, S., Bhattacharya, I., Li, C. X., Fan, R. E., Sonn, G. A., & Rusu, M. (2024). A deep learning framework to assess the feasibility of localizing prostate cancer on b-mode transrectal ultrasound images. In Medical Imaging 2024: Ultrasonic Imaging and Tomography (Vol. 12932, pp. 168–173). SPIE.

Chicago/Turabian   Click to copy
Jahanandish, Hassan, Sulaiman Vesal, Indrani Bhattacharya, Cynthia Xinran Li, Richard E Fan, Geoffrey A Sonn, and Mirabela Rusu. “A Deep Learning Framework to Assess the Feasibility of Localizing Prostate Cancer on b-Mode Transrectal Ultrasound Images.” In Medical Imaging 2024: Ultrasonic Imaging and Tomography, 12932:168–173. SPIE, 2024.

MLA   Click to copy
Jahanandish, Hassan, et al. “A Deep Learning Framework to Assess the Feasibility of Localizing Prostate Cancer on b-Mode Transrectal Ultrasound Images.” Medical Imaging 2024: Ultrasonic Imaging and Tomography, vol. 12932, SPIE, 2024, pp. 168–73.

@inproceedings{jahanandish2024a,
  title = {A deep learning framework to assess the feasibility of localizing prostate cancer on b-mode transrectal ultrasound images},
  year = {2024},
  organization = {SPIE},
  pages = {168--173},
  volume = {12932},
  author = {Jahanandish, Hassan and Vesal, Sulaiman and Bhattacharya, Indrani and Li, Cynthia Xinran and Fan, Richard E and Sonn, Geoffrey A and Rusu, Mirabela},
  booktitle = {Medical Imaging 2024: Ultrasonic Imaging and Tomography}
}