This paper is in the following e-collection/theme issue:

Medical imaging (32) Imaging Informatics (200) Breast Cancer (213) Machine Learning (1501)

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

Neural Network Pattern Recognition of Ultrasound Image Gray Scale Intensity Histograms of Breast Lesions to Differentiate Between Benign and Malignant Lesions: Analytical Study

Authors of this article:

Arivan Ramachandran1 Author Orcid Image ;   Shivabalan Kathavarayan Ramu2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. 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
  2. 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