3 papers
eess.IV2024
PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images
Akhila Krishna, Nikhil Cherian Kurian, Abhijeet Patil +2
Accurate survival prediction is essential for personalized cancer treatment. However, genomic data - often a more powerful predictor than pathology data - is costly and inaccessibl…
cs.CV2023
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…
eess.IV2023
Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis
Sahar Almahfouz Nasser, Ashutosh Sharma, Anmol Saraf +3
Ultrasound (US) imaging is better suited for intraoperative settings because it is real-time and more portable than other imaging techniques, such as mammography. However, US image…