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Hasil Pencarian

Ditemukan 2 dokumen yang sesuai dengan query
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Hakim Agung Ramadhan
"Kompresi citra medis telah lama menjadi suatu penerapan teknologi kompresi yang kontroversial. Terdapat dua jenis kompresi citra: lossless dan lossy. Nilai rasio kompresi pada lossless compression tidak terlalu besar sehinga lossy compression diterapkan. Perhatian utama pada kompresi citra medis adalah penentuan visually lossless threshold dimana ditentukan nilai batas kuantisasi sehingga kompresi terhadap citra medis dapat dilakukan sebelum terjadi distorsi yang tertangkap oleh sistem visual manusia. Pada skripsi ini dilakukan simulasi kompresi citra medis berdasarkan contrast threshold dan visual masking yang diujikan pada modality computed tomography, mammography, dan X-ray. Evaluasi subjektif dilakukan untuk menilai kualitas citra medis hasil dekompresi dengan melibatkan dokter spesialis radiologi sebagai penguji. Tingkat kejelasan algoritma yang digunakan pada citra medis pada modality X-ray, mammography, dan computed tomography masing-masing adalah 90,00%, 85,00%, dan 89,1666667%. Rasio kompresi dan waktu yang diperlukan untuk melakukan kompresi dan dekompresi bervariasi pada setiap citra medis yang diujikan.

Medical image compression has been a controversial application of compression technology. There are two types of image compression: lossless and lossy. The value of compression ratio in the lossless compression is not too big so that lossy compression is applied. The main concern in the medical image compression is the determination of visually lossless threshold limit of quantitation where values are determined so that the compression of medical images can be applied before the distortion is captured by the human visual system. In this thesis, a simulation of medical image compression based on contrast threshold and visual masking is tested on modalities: computed tomography, mammography, and X-ray. Subjective evaluation was conducted to assess the quality of medical image decompression results involving radiologist as testers. The degree of clarity of the algorithms used in medical image on the modality of X-rays, mammography, and computed tomography, respectively are 90,00%, 85,00%, and 89,1666667%. Compression ratio and time required to perform compression and decompression vary on each medical image tested."
2011
S171
UI - Skripsi Open  Universitas Indonesia Library
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Deyo, Richard A.
"Medical science has always promised -- and often delivered -- a longer, better life. But as the pace of science accelerates, do our expectations become unreasonable, fueled by an industry bent on profits and a media desperate for big news? Hope or Hype is a taboo-shattering look at what drives the American obsession with medical "miracles," exposing the equipment manufacturers and pharmaceutical companies; doctors and hospitals too quick to order surgery; the politicians; the press; and our own "technoconsumption" mindset."
New York: [American Management Association, ], 2005
e20437821
eBooks  Universitas Indonesia Library