David Snead

1. Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation\n and Classification
   2021/08/25 by Simon Graham, Mostafa Jahanifar, Graham, Simon +31 · 9 citations
   Computer Science · Medicine · #AI in cancer detection #Colorectal Cancer Screening and Detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
2. Context-Aware Convolutional Neural Network for Grading of Colorectal\n Cancer Histology Images
   2019/07/22 by Muhammad Shaban, Ruqayya Awan, Shaban, Muhammad +9 · 3 citations
   Computer Science · #AI in cancer detection #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
3. One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
   2022/02/28 by Simon Graham, Quoc Dang Vu, Graham, Simon +10 · 4 citations
   Computer Science · Medicine · #AI in cancer detection #Digital Imaging for Blood Diseases #Radiomics and Machine Learning in Medical Imaging
4. Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations
   2021/06/25 by Noorul Wahab, Wahab, Noorul, Islam M. Miligy +51 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering