MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

Autor: Zhang, Zizhao, Xie, Yuanpu, Xing, Fuyong, McGough, Mason, Yang, Lin

The inability to interpret the model prediction in semantically and visually meaningful ways is a well-known shortcoming of most existing computer-aided diagnosis methods. In this paper, we propose MDNet to establish a direct multimodal mapping betwe

Externí odkaz: http://arxiv.org/abs/1707.02485

Selection of Salient Morphological and Network Features for Computational Diagnosis of Myositis

Autor: Mcgough, Mason

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::24865979c036994285f7ccf06b2225f6

Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation.

Autor: Liu, Fujun, Xing, Fuyong, Zhang, Zizhao, Mcgough, Mason, Yang, Lin

Publikováno v: String Processing & Information Retrieval: 22nd International Symposium, SPIRE 2015, London, UK, September 1-4, 2015, Proceedings; 2015, p324-331, 8p