Brown, Donald E.
- Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
2021/03/19 by Yash Sharma, Sharma, Yash, Aman Shrivastava +9 · 8 citations
Computer Science · #AI in cancer detection #Digital Imaging for Blood Diseases #Image Retrieval and Classification Techniques
- Automatic Report Generation for Histopathology images using pre-trained Vision Transformers
2023/11/10 by Saurav Sengupta, Donald E. Brown, Sengupta, Saurav +1 · 2 citations
Computer Science · Medicine · #AI in cancer detection #Cervical Cancer and HPV Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
- Hierarchical Deep Convolutional Neural Networks for Multi-category\n Diagnosis of Gastrointestinal Disorders on Histopathological Images
2020/05/08 by Rasoul Sali, Sodiq Adewole, Sali, Rasoul +19 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Colorectal Cancer Screening and Detection #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
- HistoTransfer: Understanding Transfer Learning for Histopathology
2021/06/13 by Yash Sharma, Sharma, Yash, Lubaina Ehsan +5 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
- MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation
2022/06/29 by Yash Sharma, Sharma, Yash, Sana Syed +3 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Cervical Cancer and HPV Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
- ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
2024/06/27 by Nazanin Moradinasab, Moradinasab, Nazanin, Laura S. Shankman +7 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences