3 papers
eess.IV2021
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation
Nishanjan Ravin, Sourajit Saha, Alan Schweitzer +4
We demonstrate that Domain Invariant Feature Learning (DIFL) can improve the out-of-domain generalizability of a deep learning Tuberculosis screening algorithm. It is well known th…
eess.IV2019
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Sharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir +1
Diagnosing different retinal diseases from Spectral Domain Optical Coherence Tomography (SD-OCT) images is a challenging task. Different automated approaches such as image processi…
cs.CV2018
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks
Sourajit Saha, Sharif Amit Kamran, Ali Shihab Sabbir
Recognizing Traffic Signs using intelligent systems can drastically reduce the number of accidents happening world-wide. With the arrival of Self-driving cars it has become a stapl…