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Found 7 from your keywords: subject="Penyakit Kanker"
cover
PENGEMBANGAN MODEL SEGMENTASI LESI CITRA PRA-KANKER SERVIKS MENGGUNAKAN YOLO …
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Huda, Syafaat Muhammad Bahril

Cervical cancer is one of the leading causes of morbidity and mortality among women, making early detection of precancerous lesions essential. However, lesion segmentation in cervical images still faces several challenges, including unclear object boundaries, illumination variations, imaging artifacts, and class imbalance between lesion and background, which reduce the performance of deep learn…

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Collation
xviii, 181 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T2000472026
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PENINGKATAN KINERJA SEGMENTASI CITRA PRA-KANKER SERVIKS MELALUI AUGMENTASI DA…
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Vindriani, Marsella

Cervical cancer is a leading cause of death among women. The subjectivity of Visual Inspection with Acetic Acid (VIA) screening encourages the use of Artificial Intelligence (AI) for medical image segmentation automation. However, limited datasets frequently cause model overfitting. This research aims to improve the segmentation performance of cervical precancerous images on the YOLOv11-seg mod…

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ISBN/ISSN
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Collation
xiii, 98 hlm.; ilus.; tab.; 29 cm.
Series Title
-
Call Number
T2000512026
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cover
ANALISIS HYBRID FEATURE ENGINEERING UNTUK PENENTUAN TINGKAT KEPARAHAN LESI PR…
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Putri, Zahra Maharani

Visual diagnosis via colposcopy is prone to observer subjectivity, making a more objective computational system necessary. This study explores two approaches: hybrid feature engineering (color, texture, contour) using machine learning (ML) via a rule-based system that adapts the Sweden score method, and end-to-end architectures based on YOLO (v8, v11, v12, v26). The dataset is sourced from the …

Edition
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ISBN/ISSN
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Collation
xvi, 125 hlm.; ilus.; tab.; 29 cm.
Series Title
-
Call Number
T2000382026
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KARAKTERISIK GAMBARAN CT SCAN TORAKS BERDASARKAN JENIS HISTOPATOLOGI PASIEN D…
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Pasaribu , Arnold Yosua Raja

In the last five years, the incidence of cancer continues to increase. Lung cancer is known as a malignant disease with the highest mortality rate in the world. In 2018, based on data from the WHO, lung cancer was ranked first in the number of new cases, which amounted to two million new cases worldwide. In Indonesia, lung cancer occupies the top three most cancer incidences. Risk factors for l…

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ISBN/ISSN
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Collation
xix, 80 hlm. : ilus. ; 29 cm
Series Title
-
Call Number
T593222021
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HUBUNGAN BEBAN KELUARGA DENGAN KUALITAS HIDUP PADA ANAK PENDERIITA KANKER
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Alfalih, Rifqoh

Kanker anak adalah kanker yang menyerang anak-anak berusia dibawah 18 tahun, termasuk anak yang berada di dalam kandungan. Masalah yang sering dihadapi oleh keluarga dengan anak penderita kanker adalah beban keluarga dan kualitas hidup anak penderita kanker. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara beban keluarga dengan kualitas hidup pada anak penderita kanker. Desain…

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Collation
xv, 79 hlm,: ilus.; 29 cm
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Call Number
T504092021
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KARAKTERISTIK GRADING HISTOPATOLOGIK KANKER PROSTAT DI DEPARTEMEN PATOLOGI AN…
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ANDIANI, TASYA KAMILA

Background. Prostate cancer is one of most frequent malignancy in men. Incidence of prostate cancer in Indonesia was 11.361 cases with mortality rate was 44% in 2018, and this count may increase annually. Determine the histopathology grading is important for deciding the proper management of prostate cancer. This study aim to get the characteristic of prostate cancer histopathology grading at R…

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ISBN/ISSN
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Collation
xiv, 68 hlm,:ilus.; 29 cm
Series Title
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Call Number
T397182020
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ENGARUH VIDEO EDUKASI TENTANG EFEK SAMPING KEMOTERAPI TERHADAP PENGETAHUAN SI…
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MARWIYAH, MARWIYAH

Most of the breast cancer patients undergo chemotherapy treatment. Chemotherapy can cause side effect for patient both physically and psychologically therefore patient really need family help to overcome the side effect of chemotherapy they are experiencing. But families often do not know the side effect of chemotherapy and how to deal with these side effect therefore it need to be communicated…

Edition
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ISBN/ISSN
-
Collation
xix, 155+lamp,; ill.; 29 cm
Series Title
-
Call Number
T384942020
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