5 citations · 7 across the 5 of their papers we have counts for
5 papers
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images
Dibyasree Guha, Shyamali Mitra, Somenath Kuiry +1
Quantum neural networks are deemed suitable to replace classical neural networks in their ability to learn and scale up network models using quantum-exclusive phenomena like superp…
ULGss: A Strategy to construct a Library of Universal Logic Gates for -variable Boolean Logic beyond NAND and NOR
Aadarsh G. Goenka, Shyamali Mitra, Mrinal K. Naskar +1
In literature, NAND and NOR are two logic gates that display functional completeness, hence regarded as Universal gates. So, the present effort is focused on exploring a library of…
ReCo1: A Fault resilient technique of Correlation Sensitive Stochastic Designs
Shyamali Mitra, Sayantan Banerjee, Mrinal Kanti Naskar
In stochastic circuits, major sources of error are correlation errors, soft errors and random fluctuation errors that affect the accuracy and reliability of the circuit. The soft e…
Cytology Image Analysis Techniques Towards Automation: Systematically Revisited
Shyamali Mitra, Nibaran Das, Soumyajyoti Dey +3
Cytology is the branch of pathology which deals with the microscopic examination of cells for diagnosis of carcinoma or inflammatory conditions. Automation in cytology started in t…
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images
Soumyajyoti Dey, Soham Das, Swarnendu Ghosh +3
One of the most challenging aspects of medical image analysis is the lack of a high quantity of annotated data. This makes it difficult for deep learning algorithms to perform well…