Hasil Pencarian  ::  Simpan CSV :: Kembali

"This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others.The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning，dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts.The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision."

"This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego."

"ABSTRAKTindakan terapi bertujuan untuk memperoleh hasil yang optimal berupakematian jaringan kanker sebanyak mungkin dan kerusakan minimal padajaringan sehat sehingga dilakukan upaya untuk mengoptimalkan hasil pengobatanradiasi. Dengan perkembangan teknologi, teknik radioterapi juga berkembangdari konvesional, 3D conformal ke Intensity Modulated Radiotherapy (IMRT).IMRT merupakan teknik meggunakan banyak lapangan radiasi dalampenyinarannya dengan intensitas yang tidak seragam pada setiap arah lapanganradiasi. Sebelum dilakukan penyinaran pada pasien perlu dilakukan verifikasipenyinaran IMRT antara perhitungan pada TPS dan pada keadaan sebenarnyadilapangan. Verifikasi dilakukan dengan mengguunakan film gafchromic EBT2.Pada penelitian ini dilakukan verifikasi penyinaran IMRT dengan klinisGlioblastoma Multiforme pada 5 pasien distribusi dosis akumulasi dan 3 pasienuntuk distribusi dosis per lapangan penyinaran menggunakan film gafchromicEBT2. Didapatkan kesesuaian piksel untuk semua pasien dengan kriteria gamma≤ 1 dengan 3% dose different dan 3 mm DTA. Hasil verifikasi untuk distribusidosis akumulasi pada 5 pasien didapat kesesuaian piksel 100% pada 4 pasien danhanya 1 pasien yang mempunyai kesesuaian 99,8%. Kesesuaian piksel gammauntuk verifikasi setiap lapangan penyinaran pasien pada pasien 1, 87%; 85,4%;85,9%; 80,5%; 92,3%; 100%; pasien 2; 91,1%; 89,9%; 89,4%; 87,8%; 80,5%;100%; pasien 3; 79,3%; 88,5%; 77,5%; 84,9%; 83,1%; 99,8%. Hasil kesesuaianpiksel pada distribusi dosis perlapangan penyinaran kurang baik karena dosisperlapangan penyinaran rendah maka tingkat kehitaman film gafchromic EBT2rendah. Film gafchromic EBT2 memberikan hasil yang baik pada lapanganpenyinaran akumulasi. Evaluasi dose difference dengan kriteria 3% memberikanhasil banyak daerah yang tidak cocok (tidak lolos) sehingga kesesuaian pikselrendah karena dosis pada film disetiap piksel cukup fluktuatif dan adanyaperbedaan resolusi film dengan dose matrix. Evaluasi menggunakan DTA sajatidak dapat digunakan untuk mengevaluasi verifikasi IMRT karena pada tiappikselnya mempunyai kecocokan (lolos) pada kriteria 3mm sehingga mempunyaikesesuaian pixel yang baik. Sehingga untuk mengevaluasi verifikasi IMRT harusmenggunakan gabungan DTA dan dose difference yaitu menggunakan evaluasinilai gamma.

---

ABSTRACTTherapy aims is to obtain optimal results to kill cancer tissue with minimaldamage in healthy tissue, so we need to optimize the radiation treatment.Technology has developed from conventional radiotherapy, 3D conformal toIntensity Modulated Radiotherapy (IMRT). IMRT is a technique which has manyradiation field with non uniform intensity in every from many directions. Beforethe irradiation done in patients we need to verify the IMRT delivery between TPSand the calculations on the actual conditions the field using gafchromic EBT2film. In this study IMRT verification were done on glioblastoma multiforme on 5patients verification with are 2 patient verified using composite field 3 patientswere verificed using per-field radiation using film gafchromic EBT2. Pixelpassing level criteria for all patients using gamma criteria of 3% ≤ 1 with adifferent dose and 3 mm DTA. Verification for the distribution of the accumulateddose on 5 patients are 100% pixel passing on 4 patients and 1 patient 99.8%.Verification of each pixel passing gamma radiation field in patients 1 patient,87%, 85.4%, 85.9%, 80.5%, 92.3%; patient 2; 91.1%, 89.9 %, 89.4%, 87.8%,80.5%; patient 3; 79.3%, 88.5%, 77.5%, 84.9%, 83.1%. The results of passingpixel per field radiation distributions is not good because of low radiation dosesper field. Gafchromic EBT2 film give good results in the accumulation ofradiation field. Evaluation of dose difference with the criteria of 3% give theresults of many areas that do not pass resolution between with the dose matrixfrom TPS. Evaluation using DTA can not be used to evaluate IMRT verificationbecause at each pixel a pass on 3mm criteria so as to have a good fit pixel. So theevaluation should IMRT verification using a combined DTA and dose differenceis using the evaluation value of gamma."

"A state-of-the-art review of key topics in medical image perception science and practice, including associated techniques, illustrations and examples. This second edition contains extensive updates and substantial new content. Written by key figures in the field, it covers a wide range of topics including signal detection, image interpretation and advanced image analysis (e.g. deep learning) techniques for interpretive and computational perception. It provides an overview of the key techniques of medical image perception and observer performance research, and includes examples and applications across clinical disciplines including radiology, pathology and oncology. A final chapter discusses the future prospects of medical image perception and assesses upcoming challenges and possibilities, enabling readers to identify new areas for research. Written for both newcomers to the field and experienced researchers and clinicians, this book provides a comprehensive reference for those interested in medical image perception as means to advance knowledge and improve human health."