Laser & Optoelectronics Progress, Volume. 56, Issue 8, 081001(2019)
Algorithm for Pathological Image Diagnosis Based on Boosting Convolutional Neural Network
[4] Giannini V, Rosati S, Castagneri C et al. Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selection. [C]∥2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), April 4-7, 2018, Washington, DC, USA. New York: IEEE, 285-288(2018).
[5] Alzubaidi A K, Sideseq F B, Faeq A et al. Computer aided diagnosis in digital pathology application: Review and perspective approach in lung cancer classification. [C]∥2017 Annual Conference on New Trends in Information & Communications Technology Applications (NTICT), March 7-9 ,2017, Baghdad, Iraq. New York: IEEE, 219-224(2017).
[8] Srinivas U, Mousavi H, Jeon C et al. SHIRC: A simultaneous sparsity model for histopathological image representation and classification. [C]∥2013 IEEE 10th International Symposium on Biomedical Imaging, April 7-11, 2013, San Francisco, CA, USA. New York: IEEE, 1118-1121(2013).
[11] Yonekura A, Kawanaka H. Peasath V B S, et al. Improving the generalization of disease stage classification with deep CNN for glioma histopathological images. [C]∥2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), November 13-16, 2017, Kansas City, MO, USA. New York: IEEE, 1222-1226(2017).
[12] Shao W, Sun L, Zhang D Q. Deep active learning for nucleus classification in pathology images. [C]∥2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), April 4-7, 2018, Washington, DC, USA. New York: IEEE, 199-202(2018).
[13] Szegedy C, Liu W, Jia Y. et al. Going deeper with convolutions. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 1-9(2015).
[16] Lin H J, Chen H, Dou Q et al. ScanNet: a fast and dense scanning framework for metastastic breast cancer detection from whole-slide image. [C]∥2018 IEEE Winter Conference on Applications of Computer Vision (WACV), March 12-15, 2018, Lake Tahoe, NV, USA. New York: IEEE, 539-546(2018).
Get Citation
Copy Citation Text
Ting Meng, Yuhang Liu, Kaiyu Zhang. Algorithm for Pathological Image Diagnosis Based on Boosting Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081001
Category: Image Processing
Received: Sep. 29, 2018
Accepted: Nov. 8, 2018
Published Online: Jul. 26, 2019
The Author Email: Meng Ting (18822077257@163.com), Liu Yuhang (lyhang95@163.com)