27 citations · 44 across the 8 of their papers we have counts for
10 papers
Switching Loss for Generalized Nucleus Detection in Histopathology
Deepak Anand, Gaurav Patel, Yaman Dang +1
The accuracy of deep learning methods for two foundational tasks in medical image analysis -- detection and segmentation -- can suffer from class imbalance. We propose a `switching…
Visualization for Histopathology Images using Graph Convolutional Neural Networks
Mookund Sureka, Abhijeet Patil, Deepak Anand +1
With the increase in the use of deep learning for computer-aided diagnosis in medical images, the criticism of the black-box nature of the deep learning models is also on the rise.…
Uncertainty Estimation in Cancer Survival Prediction
Hrushikesh Loya, Pranav Poduval, Deepak Anand +2
Survival models are used in various fields, such as the development of cancer treatment protocols. Although many statistical and machine learning models have been proposed to achie…
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
Abhijeet Patil, Dipesh Tamboli, Swati Meena +2
Breast cancer has the highest mortality among cancers in women. Computer-aided pathology to analyze microscopic histopathology images for diagnosis with an increasing number of bre…
Pixel-wise Segmentation of Right Ventricle of Heart
Yaman Dang, Deepak Anand, Amit Sethi
One of the first steps in the diagnosis of most cardiac diseases, such as pulmonary hypertension, coronary heart disease is the segmentation of ventricles from cardiac magnetic res…
Histographs: Graphs in Histopathology
Shrey Gadiya, Deepak Anand, Amit Sethi
Spatial arrangement of cells of various types, such as tumor infiltrating lymphocytes and the advancing edge of a tumor, are important features for detecting and characterizing can…