Could We Generate Cytology Images from Histopathology Images? An Empirical Study

no code implementations • 16 Mar 2024 • Soumyajyoti Dey, Sukanta Chakraborty, Utso Guha Roy, Nibaran Das

Automation in medical imaging is quite challenging due to the unavailability of annotated datasets and the scarcity of domain experts.

Data Augmentation Image-to-Image Translation +2

Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation

no code implementations • 16 Mar 2024 • Soumyajyoti Dey, Sukanta Chakraborty, Utso Guha Roy, Nibaran Das

In this paper, we have explored a fuzzy-based late fusion techniques for cytology image segmentation.

Image Classification Image Segmentation +2

Cytology Image Analysis Techniques Towards Automation: Systematically Revisited

no code implementations • 17 Mar 2020 • Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar

Cytology is the branch of pathology which deals with the microscopic examination of cells for diagnosis of carcinoma or inflammatory conditions.

SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images

no code implementations • 12 Mar 2020 • Soumyajyoti Dey, Soham Das, Swarnendu Ghosh, Shyamali Mitra, Sukanta Chakrabarty, Nibaran Das

One of the most challenging aspects of medical image analysis is the lack of a high quantity of annotated data.

Synthetic Data Generation