203 citations · 395 across the 16 of their papers we have counts for
4 papers · 1 filter
Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review
Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez, Vasudevan Lakshminarayanan
This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images. It also summarizes recent a…
Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis
Amitojdeep Singh, J. Jothi Balaji, Mohammed Abdul Rasheed +3
Background: The lack of explanations for the decisions made by algorithms such as deep learning has hampered their acceptance by the clinical community despite highly accurate resu…
Explainable deep learning models in medical image analysis
Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan
Deep learning methods have been very effective for a variety of medical diagnostic tasks and has even beaten human experts on some of those. However, the black-box nature of the al…
Generalization of CNOT-based Discrete Circular Quantum Walk: Simulation and Effect of Gate Errors
Iyed Ben Slimen, Amor Gueddana, Vasudevan Lakshminarayanan
We investigate the counterparts of random walk in universal quantum computing and their implementation using standard quantum circuits. Quantum walk have been recently well investi…