Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling
出版年份 2020 全文链接
标题
Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling
作者
关键词
-
出版物
Complex & Intelligent Systems
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-11-22
DOI
10.1007/s40747-020-00218-4
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Intraoperative Pathologic Margin Analysis and Re-Excision to Minimize Reoperation for Patients Undergoing Breast-Conserving Surgery
- (2020) Jennifer M. Racz et al. ANNALS OF SURGICAL ONCOLOGY
- The clinical significance of oestrogen receptor expression in breast ductal carcinoma in situ
- (2020) Islam M. Miligy et al. BRITISH JOURNAL OF CANCER
- What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?
- (2020) Bruce G. Marcot et al. COMPUTATIONAL STATISTICS
- The effect of data augmentation and network simplification on the image‐based detection of broccoli heads with Mask R‐CNN
- (2020) Pieter M. Blok et al. Journal of Field Robotics
- The role of MRI and clinicopathologic features in predicting the invasive component of biopsy-confirmed ductal carcinoma in situ
- (2020) Ga Young Yoon et al. BMC MEDICAL IMAGING
- Estimating the natural progression of non-invasive ductal carcinoma in situ breast cancer lesions using screening data
- (2020) Harald Weedon-Fekjær et al. JOURNAL OF MEDICAL SCREENING
- Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
- (2020) Juan M. Górriz et al. NEUROCOMPUTING
- Cerebral Micro-Bleed Detection Based on the Convolution Neural Network With Rank Based Average Pooling
- (2017) Shuihua Wang et al. IEEE Access
- Ductal carcinoma in situ detection in breast thermography by extreme learning machine and combination of statistical measure and fractal dimension
- (2017) Shui-Hua Wang et al. Journal of Ambient Intelligence and Humanized Computing
- Wavelet energy entropy and linear regression classifier for detecting abnormal breasts
- (2016) Yi Chen et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Evaluation of the Diagnostic Power of Thermography in Breast Cancer Using Bayesian Network Classifiers
- (2013) Cruz-Ramírez Nicandro et al. Computational and Mathematical Methods in Medicine
- A New Database for Breast Research with Infrared Image
- (2013) L. F. Silva et al. Journal of Medical Imaging and Health Informatics
- Breast thermography from an image processing viewpoint: A survey
- (2012) Tiago B. Borchartt et al. SIGNAL PROCESSING
- A review of thermography as promising non-invasive detection modality for breast tumor
- (2008) E.Y.-K. Ng INTERNATIONAL JOURNAL OF THERMAL SCIENCES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now