Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data-Reference-Cited by-同舟云学术

Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data

Published:2011-10 Issue:7-8 Volume:35 Page:506-514
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Madabhushi Anant,Agner Shannon,Basavanhally Ajay,Doyle Scott,Lee George

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference112 articles.

1. Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis;Madabhushi;IEEE Int Symp Biomed Imaging (ISBI),2010

2. Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays;Janowczyk;Med Image Comput Comput Assist Interv,2009

3. Integrated diagnostics: a conceptual framework with examples, Clinical Chemistry and Laboratory Medicine;Madabhushi;Clin Chem Lab Med,2010

4. Digital pathology image analysis: opportunities and challenges;Madabhushi;Imaging Med,2009

5. A comprehensive multi-attribute manifold learning scheme-based computer aided diagnostic system for breast MRI;Agner,2008

Cited by 93 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. УПРАВЛІННЯ ЦИФРОВИМИ ДАНИМИ В ПАТОЛОГІЇ;Medical Informatics and Engineering;2023-10-09

2. Artificial intelligence for digital and computational pathology;Nature Reviews Bioengineering;2023-10-02

3. Future Practices of Breast Pathology Using Digital and Computational Pathology;Advances in Anatomic Pathology;2023-09-22

4. Digital pathology systems enabling quality patient care;Genes, Chromosomes and Cancer;2023-07-17

5. Fusion of Human Cognitive Knowledge and Machine Inference for Breast Cancer Detection;2023 International Conference on Advanced Robotics and Mechatronics (ICARM);2023-07-08