88 citations · 172 across the 5 of their papers we have counts for
5 papers
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images
Sambuddha Ghosal, Pratik Shah
Deep learning (DL) models for disease classification or segmentation from medical images are increasingly trained using transfer learning (TL) from unrelated natural world images.…
High Accuracy Tumor Diagnoses and Benchmarking of Hematoxylin and Eosin Stained Prostate Core Biopsy Images Generated by Explainable Deep Neural Networks
Aman Rana, Alarice Lowe, Marie Lithgow +7
Histopathological diagnoses of tumors in tissue biopsy after Hematoxylin and Eosin (H&E) staining is the gold standard for oncology care. H&E staining is slow and uses dyes, reagen…
Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-Septic Patients
Perikumar Javia, Aman Rana, Nathan Shapiro +1
Sepsis is a life-threatening disease and one of the major causes of death in hospitals. Imaging of microcirculatory dysfunction is a promising approach for automated diagnosis of s…
Computational Histological Staining and Destaining of Prostate Core Biopsy RGB Images with Generative Adversarial Neural Networks
Aman Rana, Gregory Yauney, Alarice Lowe +1
Histopathology tissue samples are widely available in two states: paraffin-embedded unstained and non-paraffin-embedded stained whole slide RGB images (WSRI). Hematoxylin and eosin…
Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health
Gregory Yauney, Aman Rana, Lawrence C. Wong +3
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automated process that combines intraoral fluoresc…