Ditemukan 10 dokumen yang sesuai dengan query
Adinda Rabi`Ah Al`Adawiyah
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Penyakit mata berat yang telat tertangani seperti katarak, glaukoma, serta retinopati diabetik merupakan salah satu penyebab utama gangguan penglihatan dan kebutaan. Pencegahan dapat dilakukan dengan melakukan pendektesian dini melalui citra fundus. Untuk mengatasi minimnya dokter mata dan persebarannya yang masih belum merata, dilakukan pendektesian penyakit mata secara otomatis melalui gambar mata dengan pendekatan deep learning. Dalam penelitian ini, digunakan metode Transfer Learning U-Net dengan VGG16 sebagai pretrained model (V-Unet) yang telah dilatih pada online database, ...
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Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2022
S-pdf
UI - Skripsi Membership Universitas Indonesia Library
Indah Annisa
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ABSTRAK
Dalam beberapa dekade terakhir, pencitraan sinar-X menggunakan film-screen mulai
digantikan oleh digital radiography. Sistem pencitraan digital salah satunya adalah
computed radiography (CR). Sejauh ini di Indonesia, perkembangan yang pesat dari CR
belum dibarengi dengan penelitian untuk memperoleh kondisi optimum dalam
aplikasinya.
Telah dilakukan penelitian di RS X menggunakan CR Agfa tipe PSP MD 4.0 dan
fantom Rando Man untuk menentukan optimasi pembentukan citra. Juga dilakukan
pengukuran Entrance Surface Dose (ESD) menggunakan thermoluminescent dosimeter
(TLD) dengan berbagai variasi nilai kV. Pemeriksaan yang dipilih adalah ...
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2012
T30125
UI - Tesis Open Universitas Indonesia Library
Levine, Joshua A., editor
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This book constitutes the refereed proceedings of the International Workshop on Mesh Processing in Medical Image Analysis, MeshMed 2012, held in Nice, France, in October 2012 in conjunction with MICCAI 2012, the 15th International Conference on Medical Image Computing and Computer Assisted Intervention. The book includes 16 submissions, 8 were selected for presentation along with the 3 plenary talks representative of the meshing, and 8 were selected for poster presentations. The papers cover a broad ...
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Heidelberg: [, Springer-Verlag], 2012
e20409307
eBooks Universitas Indonesia Library
Nicholas Ayache, editor
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The three-volume set LNCS 7510, 7511, and 7512 constitutes the refereed proceedings of the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, held in Nice, France, in October 2012. Based on rigorous peer reviews, the program committee carefully selected 252 revised papers from 781 submissions for presentation in three volumes. The first volume includes 91 papers organized in topical sections on abdominal imaging, computer-assisted interventions and robotics, computer-aided diagnosis and planning, ...
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Berlin : [, Springer-Verlag], 2012
e20410585
eBooks Universitas Indonesia Library
Liana Stanescu, editor
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Creating new medical ontologies for image annotation focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All the steps of this process are described in detail with algorithms, experiments and results. In addition, the authors treat the problem of creating ontologies in an automatic way, starting from Medical Subject Headings (MESH). They have presented some efficient and relevant annotation models and also the ...
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New York: [, Springer], 2012
e20418292
eBooks Universitas Indonesia Library
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This book is a compendium of the ICCMIA 2018 proceedings, which provides an ideal reference for all medical imaging researchers and professionals to explore innovative methods and analyses on imaging technologies for better prospective patient care.
This work serves as an exclusive source for new computer assisted clinical and medical developments in imaging diagnosis, intervention and analysis. It includes articles on computer assisted medical scanning techniques, computer-aided diagnosis, robotic surgery and imaging, imaging genomics, clinically-oriented ...
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Switzerland: Springer Nature, 2019
e20507551
eBooks Universitas Indonesia Library
Toennies, Klaus D.
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This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features : presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts, discusses the archival and transfer of images, including the HL7 and DICOM standards, presents a selection of techniques for the enhancement of contrast ...
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London: Springer, 2012
e20407724
eBooks Universitas Indonesia Library
Stanley Durrleman, editor
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This book constitutes the refereed proceedings of the Second International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, held in conjunction with MICCAI 2012 in Nice, France, in October 2012. The 13 papers presented in this volume were carefully reviewed and selected from 22 submissions. They are organized in topical sections named, longitudinal registration and transport, spatio-temporal analysis for shapes, spatio-temporal analysis under appearance changes, and spatio-temporal analysis for biology ...
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Berlin: [, Springer-Verlag], 2012
e20409282
eBooks Universitas Indonesia Library
Nicholas Ayache, editor
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The three-volume set LNCS 7510, 7511, and 7512 constitutes the refereed proceedings of the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, held in Nice, France, in October 2012. Based on rigorous peer reviews, the program committee carefully selected 252 revised papers from 781 submissions for presentation in three volumes. The third volume includes 79 papers organized in topical sections on diffusion imaging, from acquisition to tractography, image acquisition, segmentation and ...
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Berlin : [, Springer-Verlag], 2012
e20410587
eBooks Universitas Indonesia Library
Fei Wang, editor
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The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging ...
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Berlin: Springer, 2012
e20406923
eBooks Universitas Indonesia Library