Article Per Year (5 Year)
p-Index From 2021 - 2026
2.863
P-Index
This Author published in this journals
All Journal HAYATI Journal of Biosciences Majalah Obat Tradisional The Indonesian Biomedical Journal JOIV : International Journal on Informatics Visualization JSFK (Jurnal Sains Farmasi & Klinis) FITOFARMAKA: Jurnal Ilmiah Farmasi Majalah Patologi Indonesia Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Narra J INDOGENIUS Indonesian Journal of Cancer Jurnal Riset Rumpun Ilmu Kedokteran (JURRIKE) The Indonesian Journal of Gastroenterology, Hepatology and Digestive Endoscopy Indonesian Journal of Medical Chemistry and Bioinformatics Jurnal Kefarmasian Indonesia
Kusmardi Kusmardi
Departemen Patologi Anatomik, Fakultas Kedokteran, Universitas Indonesia Jakarta
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Earth & Planetary Sciences Education Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Veterinary

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
SCOV-CNN: A Simple CNN Architecture for COVID-19 Identification Based on the CT Images Haryanto, Toto; Suhartanto, Heru; Murni, Aniati; Kusmardi, Kusmardi; Yusoff, Marina; Zain, Jasni Mohammad
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1750

Abstract

Since the coronavirus was first discovered in Wuhan, it has widely spread and was finally declared a global pandemic by the WHO. Image processing plays an essential role in examining the lungs of affected patients. Computed Tomography (CT) and X-ray images have been popularly used to examine the lungs of COVID-19 patients. This research aims to design a simple Convolution Neural Network (CNN) architecture called SCOV-CNN for the classification of the virus based on CT images and implementation on the web-based application. The data used in this work were CT images of 120 patients from hospitals in Brazil. SCOV-CNN was inspired by the LeNet architecture, but it has a deeper convolution and pooling layer structure. Combining seven and five kernel sizes for convolution and padding schemes can preserve the feature information from the images.  Furthermore, it has three fully connected (FC) layers with a dropout of 0.3 on each. In addition, the model was evaluated using the sensitivity, specificity, precision, F1 score, and ROC curve values. The results showed that the architecture we proposed was comparable to some prominent deep learning techniques in terms of accuracy (0.96), precision (0.98), and F1 score (0.95). The best model was integrated into a website-based system to help and facilitate the users' activities. We use Python Flask Pam tools as a web server on the server side and JavaScript for the User Interface (UI) Design
Tumor-infiltrating lymphocytes dan Peranannya pada Karsinoma Payudara Ditha Diana; Kusmardi
Majalah Patologi Indonesia Vol. 29 No. 1 (2020): MPI
Publisher : Perhimpunan Dokter Spesialis Patologi Anatomik Indonesia (PDSPA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55816/mpi.v29i1.405

Abstract

Infiltration of T lymphocyte cells in tumor tissue is a good prognosis in cancer patients. The infiltrating lymphocyte(TIL) tumor is the phenotype of CD4+ T lymphocytes and CD8+ T lymphocytes that infiltrate tumors. TIL can have abeneficial effect as well as a detrimental effect on breast carcinoma. There are three subtypes of T lymphocytes thatinfiltrate tumors which are T-helper (Th), T-citotoxic (Tc) and T-regulators (Treg). The role of Th lymphocytes in tumorimmunity can be divided into three phases, that are the initial induction phase, the phase maintaining the Tc responseas an effector and the memory formation phase. Th lymphocytes will secrete cytokines that can stimulate tumor cellsto increase the expression of MHC class I molecules, so that it will further optimize the function of Tc lymphocyticcytotoxicity which has the most dominant role in cytolytic tumor cells. Treg lymphocytes effectively suppressantitumor responses from Tc lymphocytes and other immune cells so that they can facilitate tumor development. Inbreast carcinoma, Treg lymphocytes have a different influence on each of the cancer subtypes.
Peran Vascular Endothelial Growth Factor (VEGF) dalam Patogenesis Spektrum Plasenta Akreta 1 Linggodigdo, Michelle; Hellyanti, Tantri; Kusmardi
Majalah Patologi Indonesia Vol 31. No. 3, September 2022
Publisher : Perhimpunan Dokter Spesialis Patologi Anatomik Indonesia (PDSPA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55816/mpi.v31i3.519

Abstract

Placenta accreta spectrum (PAS) is a cause of serious maternal morbidity and mortality. FIGO 2020 designated PAS into grade 1 (non-invasive), grade 2 (superficial invasion), grade 3A (deep invasion), grade 3D (deep invasion with disruption of the serosa), and grade 3E (deep invasion with adherence to extrauterine structures). Currently, the trophoblast cell in accreta spectrum is associated with similar characteristics to cancer. Both conditions can induce angiogenesis, marked by upregulation of vascular endothelial growth factor (VEGF). This resulted in the formation of extensive neovascularization. The secretion of VEGF is induced by hypoxia, which was related to risk factor of PAS occurrence; defect of the decidua due to endometrial tissue damage.
Deep Vein Thrombosis Accompanied by Acute Bacterial Infection, Hypercholesterolemia and Grade I Obesity in a 20-Year-Old Man in a Hospital Az Zahra, Putri Unggun; Febrianti, Shelvi; Kusmardi, Kusmardi
INDOGENIUS Vol 5 No 1 (2026): INDOGENIUS
Publisher : Department of Publication of Inspirasi Elburhani Foundation Desa. Pamokolan, Kecamatan Cihaurbeuti, Kabupaten Ciamis, Provinsi Jawa Barat, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56359/igj.v5i1.928

Abstract

Backgorund: Deep vein thrombosis (DVT) is a condition in which thrombus forms in the inner veins, especially the lower legs, which can cause serious complications in the form of pulmonary embolism. Risk factors for DVT can include immobilization, hemostasis disorders, metabolic disorders, and systemic diseases that affect vascularization. Method: In certain cases, DVT can appear at the same time as other diseases that aggravate the clinical course. It was reported that a 20-year-old man with the main complaint was pain and swelling in the lower limbs since a few days before being admitted to the hospital. Patients also complain of high fever and bleeding gums. Physical examination found that the lower limbs were swollen, tender, and warm. Results: The results of the supporting examination showed the presence of thrombus in the profunda vein through doppler ultrasound, so the diagnosis of DVT was established. Hematological examinations showed neutrophilia, thrombocytopenia, lipid profiles showed increased total cholesterol, while ECG examinations supported the presence of myocardial ischemia. Patients were managed with a multidisciplinary approach: antibiotics, anticoagulants, and risk factor control. Conclusion: This case illustrates the complexity of treating DVT in young patients with high-risk comorbidities, as well as emphasizing the importance of early detection and individualized therapy to prevent further complications.
Co-Authors . Syamsudin Adisti Dwijayanti Alfred Pakpahan, Alfred Aniati Murni Anwar S. Ibrahim Anwar S. Ibrahim Aprilliyani, Ifana Ariadi Humardhani Ariffandi, Bagas Arleni Bustami Aryo Tedjo Atmaja, Fredy Wirya Az Zahra, Putri Unggun Azizah, Norma N. Berna Elya Budiana Tanurahardja Dewi Sukmawati Diah Rini Handjari Dian Ratih Laksmitawati Dimas Ramadhian N Ditha Diana Ditha Diana Dwitia Wulandari Endang SR. Hardjolukito Endang Sri Roostini Hardjolukito Enif Esti Triana Ening Krisnuhoni Erlina, Linda Erwina Muhadi Fadhillah, Muhamad Rizqy Fadilah Fadilah, Fadilah Fajriati, Annisa Febrianti, Shelvi Hamdani Zain Hanum, Sitti Fatimah Hashim, Najihah M. Hayun Hayun Hellyanti, Tantri Hendig Winarno Heri Wibowo Heru Suhartanto Hikariastri, Pangartika Imelda Setiana Silitonga Irandi Putra Pratomo Ismalasari, Wahyu Jasni Mohammad Zain Khatimah, Nurul Gusti Kristanty, Diyah Ladeska, Vera Landyyun Rahmawan Sjahid Landyyun Rahmawan Sjahid Lestari, Tri Wahyuni Lili Indrawati Linggodigdo, Michelle Lubis, Nadar Sukri Megawati, Ajeng Muhammad Hanafi Murtiani, Farida Nina Yolanda Putri Noor, Dimas Ramadhian Novi Fajar Utami Nurdin, Wildawati Peni Kistijani Samsuria Putri Reno Intan Putri, Rizky Clarinta Rani Wardani Hakim Rino Patiatta Rohmat, Siti Saudah Shirly Kumala Sri S. Ningsih, Sri S. Sri Suryo Adiyanti, Sri Suryo Surya Dwira Syamsu Nur, Syamsu Toto Haryanto Triana, Novi Virhan Novianry Vivi Setiawaty Wahyu Hidayati Wahyu Hidayati Wahyu Ismalasari Wawaimuli Arozal Widiantari, Aninda Dinar Wiwiek Ernajanti Wiyanto, Marwito Yulhasri Yulhasri Yusoff, Marina Yusra Yusra