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Handayani Tjandrasa
Handayani Tjandrasa
Department of Informatics, Institut Teknologi Sepuluh Nopember
Verified email at its.ac.id
Title
Cited by
Cited by
Year
Classification of diabetic retinopathy and normal retinal images using CNN and SVM
DUN Qomariah, H Tjandrasa, C Fatichah
2019 12th International Conference on Information & Communication Technology …, 2019
1042019
Classification of tobacco leaf pests using VGG16 transfer learning
DI Swasono, H Tjandrasa, C Fathicah
2019 12th international conference on information & communication technology …, 2019
642019
Optic Nerve Head Segmentation Using Hough Transform and Active Contours
H Tjandrasa, A Wijayanti, N Suciati
TELKOMNIKA (Telecommunication Computing Electronics and Control) 10 (3), 531-536, 2012
632012
Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM
H Tjandrasa, RE Putra, AY Wijaya, I Arieshanti
2013 IEEE International Conference on Control System, Computing and …, 2013
502013
Severity Classification of Non-Proliferative Diabetic Retinopathy Using Convolutional Support Vector Machine
RE Putra, H Tjandrasa, N Suciati
International Journal of Intelligent Engineering & Systems 13 (4), 156 - 170, 2020
272020
Alcoholism classification based on eeg data using independent component analysis (ica), wavelet de-noising and probabilistic neural network (pnn)
NT Rachman, H Tjandrasa, C Fatichah
2016 International seminar on intelligent technology and its applications …, 2016
272016
Combination of Aggregated Channel Features (ACF) Detector and Faster R-CNN to Improve Object Detection Performance in Fetal Ultrasound Images
FA Hermawati, H Tjandrasa, N Suciati
International Journal of Intelligent Engineering & Systems 11 (6), 65-74, 2018
252018
Exudate segmentation in retinal images of diabetic retinopathy using saliency method based on region
N Nur, H Tjandrasa
Journal of Physics: Conference Series 1108 (1), 012110, 2018
232018
Hybrid Speckle Noise Reduction Method for Abdominal Circumference Segmentation of Fetal Ultrasound Images.
FA Hermawati, H Tjandrasa, N Suciati
International Journal of Electrical & Computer Engineering (2088-8708) 8 (3), 2018
232018
Segmentation of Microaneurysms for Early Detection of Diabetic Retinopathy Using MResUNet
DUN Qomariah, H Tjandrasa, C Fatichah
International Journal of Intelligent Engineering & Systems 14 (3), 359 - 373, 2021
212021
Prediksi Pergerakan Harga Saham Menggunakan Metode Back Propagation Neural Network
RB Afrianto, H Tjandrasa, I Arieshanti, T Informatika, FT Informasi
Jurnal SimanteC 3 (3), 132-141, 2013
212013
Classification of alcoholic EEG using wavelet packet decomposition, principal component analysis, and combination of genetic algorithm and neural network
M Saddam, H Tjandrasa, DA Navastara
2017 11th International Conference on Information & Communication Technology …, 2017
182017
Classification of non-proliferative diabetic retinopathy based on segmented exudates using K-Means clustering
H Tjandrasa, I Arieshanti, R Anggoro
IJ Image, Graphics and Signal Processing 1, 1-8, 2015
182015
Identification of Acute Lymphoblastic Leukemia Subtypes in Touching Cells Based on Enhanced Edge Detection
NS Fatonah, H Tjandrasa, C Fatichah
International Journal of Intelligent Engineering & Systems 13 (4), 204 - 215, 2020
172020
Automatic femur length measurement for fetal ultrasound image using localizing region-based active contour method
FA Hermawati, H Tjandrasa, Sugiono, GIP Sari, A Azis
Journal of Physics: Conference Series 1230 (1), 012002, 2019
172019
Feature extraction using combination of intrinsic mode functions and power spectrum for EEG signal classification
H Tjandrasa, S Djanali, FX Arunanto
2016 9th International Congress on Image and Signal Processing, BioMedical …, 2016
172016
Implementasi thresholding citra menggunakan algoritma hybrid optimal estimation
MH Fauzi, H Tjandrasa
Teknol. Inf, 2010
172010
Phase-based thresholding schemes for segmentation of fetal thigh cross-sectional region in ultrasound images
FA Hermawati, H Tjandrasa, N Suciati
Journal of King Saud University-Computer and Information Sciences 34 (7 …, 2022
152022
Exudate detection in retinal fundus images using combination of mathematical morphology and Renyi entropy thresholding
DUN Qomariah, H Tjandrasa
2017 11th International Conference on Information & Communication Technology …, 2017
152017
Feature extraction using statistical moments of wavelet transform for iris recognition
N Suciati, AB Anugrah, C Fatichah, H Tjandrasa, AZ Arifin, D Purwitasari, ...
2016 International Conference on Information & Communication Technology and …, 2016
152016
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