Tri Ratnaningsih

A New Artificial Intelligence Approach Using Extreme Learning Machine as the Potentially Effective Model to Predict and Analyze the Diagnosis of Anemia

Dimas Chaerul Ekty Saputra, Khamron Sunat, Tri Ratnaningsih · Healthcare · 2023 · 83 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +23

Morphological, Texture, and Color Feature Analysis for Erythrocyte Classification in Thalassemia Cases

Dyah Aruming Tyas, Sri Hartati, Agus Harjoko et al. · IEEE Access · 2020 · 42 citations · Full text

Immunohematology, Engineering, Feature Detection +23

Classification of cell types in Acute Myeloid Leukemia (AML) of M4, M5 and M7 subtypes with support vector machine classifier

Andika Setiawan, Agus Harjoko, Tri Ratnaningsih et al. · 2018 International Conference on Information and Communications Technology (ICOIACT) · 2018 · 33 citations

Engineering, Mixed-phenotype Acute Leukemia, Immunology +24

Classification of acute myeloid leukemia subtypes M1, M2 and M3 using active contour without edge segmentation and momentum backpropagation artificial neural network

Agus Harjoko, Tri Ratnaningsih, Esti Suryani et al. · MATEC Web of Conferences · 2018 · 23 citations · Full text

Engineering, Machine Learning, Feature Extraction +22

The Classification of Abnormal Red Blood Cell on The Minor Thalassemia Case Using Artificial Neural Network and Convolutional Neural Network

Dyah Aruming Tyas, Tri Ratnaningsih, Agus Harjoko et al. · 2017 · 15 citations

Convolutional Neural Network, Engineering, Diagnosis +17