Toto Haryanto

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Multipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU Acceleration

Posted by totoharyanto on 27th Mei 2021

Cancer is one of the leading causes of death in the world. It is the main reason why research in this field becomes challenging. Not only for the pathologist but also from the view of a computer scientist. Hematoxylin and Eosin (H&E) images are the most common modalities used by the pathologist for cancer detection. The status of cancer with histopathology images can be classified based on the shape, morphology, intensity, and texture of the image. The use of full high-resolution histopathology images will take a longer time for the extraction of all information due to the huge amount of data. This study proposed advance texture extraction by multi-patch images pixel method with sliding windows that minimize loss of information in each pixel patch. We use texture feature Gray Level Co-Occurrence Matrix (GLCM) with a mean-shift filter as the data pre-processing of the images. The mean-shift filter is a low-pass filter technique that considers the surrounding pixels of the images. The proposed GLCM method is then trained using Deep Neural Networks (DNN) and compared to other classification techniques for benchmarking. For training, we use two hardware: NVIDIA GPU GTX-980 and TESLA K40c. According to the study, Deep Neural Network outperforms other classifiers with the highest accuracy and deviation standard 96.72±0.48 for four cross-validations. The additional information is that training using Theano framework is faster than Tensorflow for both in GTX-980 and Tesla K40c.

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Integrasi flask dan model deep learning

Posted by totoharyanto on 12th Juni 2020

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Integrasi Django dan Tensorflow

Posted by totoharyanto on 3rd Juni 2020

Bagi yang sering berkutan dengan python, tentu tidak asing dengan tensorflow sebagai backend komputasi. Bagaimana seandainya tensorflow tersebut diintegrasikan dengan Django pada web browser. Berikut adalah link videonya…

Selamat Mencoba

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Workshop logika fuzzy, konsep dan Aplikasinya

Posted by totoharyanto on 21st Maret 2016

Kamis, 17 Maret 2016 diadakan workshop logika fuzzy konsep dan apikasinya. Workshop ini diberikan kepada mahasiswa Lab Netcentric Computing (NCC). Penggunaan logik fuzzy untuk menyelesaikan masalah masalah di bidang jaringan. Workshop ini dihadiri oleh sekitar 20 mahasiswa baik S1 maupun S2. Materi silahkan dapat diakses di sini


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