Applying a random projection algorithm to optimize machine learning model for breast lesion classification

no code implementations • 9 Sep 2020 • Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran R. Maryada, Hong Liu, Bin Zheng

Then, support vector machine (SVM) models embedded with several feature dimensionality reduction methods are built to predict likelihood of lesions being malignant.

BIG-bench Machine Learning Dimensionality Reduction +2

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images

no code implementations • 1 Sep 2020 • Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng

Methods: In this study, we explore a new approach to build an optimal ML model.

Computed Tomography (CT) Dimensionality Reduction

Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

no code implementations • 11 Jun 2020 • Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng

In order to address this challenge, we in this study develop and test a new computer-aided diagnosis (CAD) scheme.

Decision Making Transfer Learning