no code implementations • 12 Mar 2024 • Sahar Moradizeyveh, Mehnaz Tabassum, Sidong Liu, Robert Ahadizad Newport, Amin Beheshti, Antonio Di Ieva
Eye-gaze tracking research offers significant promise in enhancing various healthcare-related tasks, above all in medical image analysis and interpretation.
1 code implementation • 1 May 2023 • Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, ZongYuan Ge
Due to the high resolution of the WSI and the unavailability of patch-level annotations, WSI classification is usually formulated as a weakly supervised problem, which relies on multiple instance learning (MIL) based on patches of a WSI.
1 code implementation • 20 Feb 2023 • Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
To investigate the effect of domain-specific pre-training, we considered the current state-of-the-art multiple-instance learning models, 1) CLAM, an attention-based model, and 2) TransMIL, a self-attention-based model, and evaluated the models' confidence and predictive performance in detecting primary brain tumors - gliomas.
no code implementations • 27 Oct 2020 • Carlo Russo, Sidong Liu, Antonio Di Ieva
Pre-processing and Data Augmentation play an important role in Deep Convolutional Neural Networks (DCNN).
no code implementations • 17 Aug 2020 • Carlo Russo, Sidong Liu, Antonio Di Ieva
Magnetic Resonance Imaging (MRI) is used in everyday clinical practice to assess brain tumors.