no code implementations • 4 Apr 2023 • Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Shi Sub Byon, Sung Hyun Kim, Tariq Mahmood Khan, Yeong Gil Shin
By employing a novel adaptive hard attention mechanism, MESAHA-Net iteratively performs slice-by-slice 2D segmentation of lung nodules, focusing on the nodule region in each slice to generate 3D volumetric segmentation of lung nodules.
no code implementations • 30 Oct 2022 • Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Shi Sub Byon, Byoung Dai Lee, Sung Hyun Kim, Byung il Lee, Yeong Gil Shin
Particularly, we exploit Bi-Directional Maximum intensity projection (MIP) images of various thicknesses (i. e., 3, 5 and 10mm) along with a 3D patch of CT scan, consisting of 10 adjacent slices to feed into self-distillation-based Multi-Encoders Network (MEDS-Net).
no code implementations • 6 Oct 2022 • Azka Rehman, Muhammad Usman, Rabeea Jawaid, Amal Muhammad Saleem, Shi Sub Byon, Sung Hyun Kim, Byoung Dai Lee, Byung il Lee, Yeong Gil Shin
In this paper, we propose a novel dual-stage deep learning-based scheme for the automatic segmentation of the mandibular canal.