1 citations · 2 across the 3 of their papers we have counts for
3 papers
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification
Amruta Parulekar, Utkarsh Kanwat, Ravi Kant Gupta +5
Segmentation and classification of cell nuclei in histopathology images using deep neural networks (DNNs) can save pathologists' time for diagnosing various diseases, including can…
Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis
Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian +2
The heterogeneity of breast cancer presents considerable challenges for its early detection, prognosis, and treatment selection. Convolutional neural networks often neglect the spa…
CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation
Chirag P, Mukta Wagle, Ravi Kant Gupta +2
We propose a new technique called CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation. Adversarial training is commonly used for lear…