Výsledky vyhledávání - "Radical Rakhman Wahid"

Brain Tumor Classification with Hybrid Algorithm Convolutional Neural Network-Extreme Learning Machine

Autor: Radical Rakhman Wahid, Fetty Tri Anggraeni, Budi Nugroho

Publikováno v: IJCONSIST JOURNALS. 3:29-33

Brain tumor is a disease that attacks the brains of living things in which brain cells grow abnormally in the area around the brain. Various ways have been done to detect this disease, one of which is through the anatomical approach to medical images

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6cb800816248cb8d757da4093419d62f
https://doi.org/10.33005/ijconsist.v3i1.53

Zobrazit plný text záznamu

Lung and colon cancer detection with convolutional neural networks on histopathological images

Autor: Radical Rakhman Wahid, Chilyatun Nisa’, Rahayu Prabawati Amaliyah, Eva Yulia Puspaningrum

Publikováno v: THE PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MARITIME EDUCATION AND TRAINING (The 5th ICMET) 2021.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7deb985cec326892a0feb15fb8b8bcba
https://doi.org/10.1063/5.0114327

Zobrazit plný text záznamu

Implementasi Metode Extreme Learning Machine untuk Klasifikasi Tumor Otak pada Citra Magnetic Resonance Imaging

Autor: Budi Nugroho, Fetty Tri Anggraeny, Radical Rakhman Wahid

Publikováno v: Prosiding Seminar Nasional Informatika Bela Negara. 1:16-20

Tumor otak merupakan penyakit yang menyerang otak makhluk hidup di mana sel otak tumbuh secara tidak normal pada daerah sekitar otak. Berbagai macam cara telah dilakukan untuk mendeteksi penyakit ini, bahkan dengan bantuan teknologi digital, satunya

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::237072457382553340477cac473e40a8
https://doi.org/10.33005/santika.v1i0.45

Zobrazit plný text záznamu

Grasping Adversarial Attacks on Deep Convolutional Neural Networks for Cholangiocarcinoma Classification

Autor: I Gede Susrama Mas Diyasa, Radical Rakhman Wahid, Brilian Putra Amiruddin

Publikováno v: 2021 International Conference on e-Health and Bioengineering (EHB).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1be861f5fc908f90d2a4b35b69104a07
https://doi.org/10.1109/ehb52898.2021.9657589

Zobrazit plný text záznamu

Pre-trained Deep Convolutional Neural Network for Detecting Malaria on the Human Blood Smear Images

Autor: Akhmad Fauzi, Ariyono Setiawan, Alfath Daryl Alhajir, Radical Rakhman Wahid, Moch. Idhom, I Gede Susrama Mas Diyasa

Publikováno v: ICAIIC

Malaria is a disease caused by the Plasmodium falciparum parasite carried by female Anopheles mosquitoes. This disease is still a severe threat in eastern Indonesia which is an endemic area of Malaria. A data-driven computer-aided diagnostic approach

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93d11add07f6a4e1e79d8e1e577c3627
https://doi.org/10.1109/icaiic51459.2021.9415183

Zobrazit plný text záznamu

Alzheimer’s Disease Stage Classification using Deep Convolutional Neural Networks on Oversampled Imbalance Data

Autor: Radical Rakhman Wahid, Rahayu Prabawati Amaliyah, Chilyatun Nisa, Eva Y Puspaningrum

Publikováno v: 2020 6th Information Technology International Seminar (ITIS).

One problem that is often faced in health data sets is a high level of imbalance. Imbalanced data can mean that the data used in machine learning has an unbalanced data distribution between different classes. One of the data is Alzheimer’s disease

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b5f7b79646bc5d22a2db60af9a97809
https://doi.org/10.1109/itis50118.2020.9321061

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání