MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection

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).

Lung Nodule Detection

Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans

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.

Segmentation