5 citations · 6 across the 4 of their papers we have counts for
4 papers
Could We Generate Cytology Images from Histopathology Images? An Empirical Study
Soumyajyoti Dey, Sukanta Chakraborty, Utso Guha Roy +1
Automation in medical imaging is quite challenging due to the unavailability of annotated datasets and the scarcity of domain experts. In recent years, deep learning techniques hav…
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation
Soumyajyoti Dey, Sukanta Chakraborty, Utso Guha Roy +1
Cytology image segmentation is quite challenging due to its complex cellular structure and multiple overlapping regions. On the other hand, for supervised machine learning techniqu…
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…