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Found 7 from your keywords: subject="Tumor Otak"
cover
PERBANDINGAN PERFORMA U-NET DAN SWIN UNETR PADA SEGMENTASI CITRA MRI TUMOR OTAK
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Faisal, M

Brain tumors require rapid and accurate diagnosis, while manual segmentation of Magnetic Resonance Imaging (MRI) scans is time-consuming and highly dependent on expert knowledge. This study compares the performance of two deep learning architectures for brain tumor segmentation, namely 3D U-Net and Swin UNETR, trained and validated using the BraTS dataset and evaluated on unseen cases. Model pe…

Edition
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ISBN/ISSN
-
Collation
xvi, 138 hlm.; ilus.; tab.; 29 cm
Series Title
-
Call Number
T1900062025
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SEGMENTASI SEL TUMOR OTAK MENGGUNAKAN MODIFIKASI ARSITEKTUR 3D U-NET INCEPTIO…
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Muzakir, Adi

Brain tumor cells can be identified by applying image segmentation techniques using Convolutional Neural Network (CNN). The CNN architecture that is often used in 3-dimensional image segmentation is 3D U-Net. In this study, the implementation of 3D U-Net Inception architecture was carried out which is a modification of 3D U-Net and Inception architecture for brain tumor cell segmentation on bra…

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ISBN/ISSN
-
Collation
xii, 61 hlm.; ilus.; 29 cm.
Series Title
-
Call Number
T1428282024
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KARAKTERISTIK IMAGING DENGAN MRI PADA KASUS GLIOMA DI RSUP DR. MOHAMMAD HOESI…
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Ruditya, Tegar Ferry

Backgrounds: Glioma is a primary brain tumor that occurs in the central nervous system. Magnetic Resonance Imaging (MRI) is the most sensitive medical imaging procedure for diagnosing brain tumors. The objective of this research is to investigate the imaging characteristics using MRI in glioma cases at Dr. Mohammad Hoesin General Hospital Palembang during the period of 2021–2023. Method: This…

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ISBN/ISSN
-
Collation
xvii, 85 hlm.; Ilus.; 29 cm
Series Title
-
Call Number
T1374182023
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Pencitraan pada Tumor Otak, Modalitas dan Interpretasinya
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Yueniwati, YuyunRia, Ruri

Edition
1
ISBN/ISSN
978-602-432-202-1
Collation
xxvi, 244hlm.; 24cm
Series Title
-
Call Number
616.99 Yue p

Edition
1
ISBN/ISSN
978-602-432-202-1
Collation
xxvi, 244hlm.; 24cm
Series Title
-
Call Number
616.99 Yue p
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cover
TINGKAT PENGETAHUAN WANITA DEWASA MENGENAI RISIKO MENGIDAP TUMOR OTAK PADA WA…
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Adifradana, Ivan Nugraha

Background. Brain tumor is defined as the uncontrolled proliferation of brain cells. Brain tumor can be classified as primary/secondary and can be categorized as benign/malignant regarding to its severity. The development of brain tumor can be induced by several factors, such as the long-term usage of hormonal contraceptives. A study has proven that there is approximately twelvefold increase in…

Edition
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ISBN/ISSN
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Collation
xvii, 78 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T8492220222
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cover
KARAKTERISTIK PASIEN MENINGIOMA DI RSUP DR. MOHAMMAD HOESIN PALEMBANG TAHUN 2…
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Delima, Amirah Syifa

Latar belakang. Meningioma adalah salah satu jenis tumor otak yang paling sering ditemui. Penelitian ini bertujuan untuk memberikan gambaran tentang karakteristik pasien Meningioma di RSUP Dr. Mohammad Hoesin Palembang. Metode. Penelitian ini menggunakan jenis penelitian observasional deskriptif dengan desain penelitian cross sectional. Hasil. Meningioma paling banyak didiagnosis pada kelompok …

Edition
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ISBN/ISSN
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Collation
xvi, 53 hlm. : ilus. ; 29 cm
Series Title
-
Call Number
T599502021
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HUBUNGAN FAKTOR KLINIKOPATOLOGI DENGAN DERAJAT HISTOPATOLOGI TUMOR OTAK DI BA…
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PUTRI, FARAH AZIZAH

Background: Brain tumors account for about 85-90% of all cancers of the central nervous system. The incidence of brain tumors is 10-17 per 100.000 per person for intracranial tumors and 1-2 per 100.000 per person for intraspinal tumors. Brain tumors have slightly different characteristics from tumors that grow elsewhere. There is no premalignant or in situ stage. For example, benign glial tumor…

Edition
-
ISBN/ISSN
-
Collation
xvi, 113 hlm,:ilus.; 29 cm
Series Title
-
Call Number
T397432020
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