Deep learning framework based on integration of S-Mask R-CNN and Inception-v3 for ultrasound image-aided diagnosis of prostate cancer
- 20 August 2020
- journal article
- research article
- Published by Elsevier BV in Future Generation Computer Systems
- Vol. 114, 358-367
- https://doi.org/10.1016/j.future.2020.08.015
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61802073)
- Scientific and Technological Planning Project of Guangzhou, China (201903010041)
- Medical Scientific Research Foundation of Guangdong Province, China (B2019023)
- Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme
This publication has 25 references indexed in Scilit:
- Comparisions of Robert, Prewitt, Sobel operator based edge detection methods for real time uses on FPGAPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Selective Search for Object RecognitionInternational Journal of Computer Vision, 2013
- A Brief Survey of Color Image Preprocessing and Segmentation TechniquesJournal of Pattern Recognition Research, 2011
- LabelMe: A Database and Web-Based Tool for Image AnnotationInternational Journal of Computer Vision, 2007
- Subject independent facial expression recognition with robust face detection using a convolutional neural networkNeural Networks, 2003
- Computerized lesion detection on breast ultrasoundMedical Physics, 2002
- Segmentation of ultrasound images––multiresolution 2D and 3D algorithm based on global and local statisticsPattern Recognition Letters, 2002
- The CNN paradigmIEEE Transactions on Circuits and Systems I: Regular Papers, 1993
- Snakes: Active contour modelsInternational Journal of Computer Vision, 1988
- ROC Methodology in Radiologic ImagingInvestigative Radiology, 1986