Published on in Vol 6, No 2 (2021): Apr-Jun
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/23808, first published
.
![Neural Network Pattern Recognition of Ultrasound Image Gray Scale Intensity Histograms of Breast Lesions to Differentiate Between Benign and Malignant Lesions: Analytical Study Neural Network Pattern Recognition of Ultrasound Image Gray Scale Intensity Histograms of Breast Lesions to Differentiate Between Benign and Malignant Lesions: Analytical Study](https://asset.jmir.pub/assets/35c7c12316c6bacdd1a7853648fabdb0.png 480w,https://asset.jmir.pub/assets/35c7c12316c6bacdd1a7853648fabdb0.png 960w,https://asset.jmir.pub/assets/35c7c12316c6bacdd1a7853648fabdb0.png 1920w,https://asset.jmir.pub/assets/35c7c12316c6bacdd1a7853648fabdb0.png 2500w)
Journals
- Kabir S, Bhuiyan M. Correlated-Weighted Statistically Modeled Contourlet and Curvelet Coefficient Image-Based Breast Tumor Classification Using Deep Learning. Diagnostics 2022;13(1):69 View
- Kabir S, Bhuiyan M, Tanveer M, Shihavuddin A. RiIG Modeled WCP Image-Based CNN Architecture and Feature-Based Approach in Breast Tumor Classification from B-Mode Ultrasound. Applied Sciences 2021;11(24):12138 View