most citedCervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection

112 citations · 125 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

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…

cs.CV2024★ 1 cited

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…

cs.CV2021★ 8 cited

Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification

Rohit Kundu, Hritam Basak, Akhil Koilada +3

Cervical cancer is the fourth most common category of cancer, affecting more than 500,000 women annually, owing to the slow detection procedure. Early diagnosis can help in treatin…

cs.AR2021★ 4 cited

Testable Designs of Toffoli Fredkin Reversible Circuits

Hari Mohan Gaur, Ashutosh Kumar Singh, Umesh Ghanekar

Loss of every bit in traditional logic circuits involves dissipation of power in the form of heat that evolve to the environment. Reversible logic is one of the alternatives that h…

cs.CV2021★ 112 cited

Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection

Hritam Basak, Rohit Kundu, Sukanta Chakraborty +1

Cervical cancer is one of the most deadly and common diseases among women worldwide. It is completely curable if diagnosed in an early stage, but the tedious and costly detection p…