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Description: 边缘提取算法提取细胞轮廓 适用于前景背景反差巨大-An object can be easily detected in an image if the object has sufficient
contrast from the background. We use edge detection and basic morphology
tools to detect a prostate cancer cell.
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Size: 2048 |
Author: cicy |
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Description: 基于虚拟现实的触感注射仿真系统的开发
关键字：力反馈 注射模拟 外科手术-Virtual Reality-Based Needle Insertion Simulation for Haptic
Feedback in Prostate Brachytherapy
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Size: 974848 |
Author: ying |
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Description: comparative study of optimization approaches in markov random field model for magnetic resonance image case study.also some other techniques are studied and described
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Size: 1805312 |
Author: uma |
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Description: 利用FLDA结合多核磁参数来检测前列腺癌-Detection of Prostate Cancer using Multi-parametric Magnetic Resonance
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Size: 2356224 |
Author: zjx |
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Description: 利用Ktrans、kep建立药代动力学模型来检测前列腺癌-Detection of Prostate Cancer by Ktrans and kep
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Size: 23552 |
Author: zjx |
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Description: 前列腺患者管理系统
记录患者信息及相关就诊信息
并制定跟踪服务计划
统计报表并导出为EXCEL
用户名：ADMIN
密码:ADMIN-Management system in patients with prostate
Record patient information and related treatment information
And develop a tracking service plan
Statistical reports and export to EXCEL
User Name: ADMIN
Password: ADMIN
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Size: 483328 |
Author: froging |
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Description: 关于2D/3D图像配准的文章，用于前列腺在3D活检中的-Article on 2D/3D image registration in 3D biopsy for prostate
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Size: 1180672 |
Author: zhangran |
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Description: Diagnosing Prostate cancer is a challenging task for Urologists,
Radiologists, and Oncologists. Ultrasound imaging is one of the
hopeful techniques used for early detection of prostate cancer.
The Region of interest (ROI) is identified by different methods
after preprocessing. In this paper
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Size: 768000 |
Author: Divya Hiremath |
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Description: Extraction of cancer cell from MRI prostate image
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Size: 353280 |
Author: shabbeer |
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Description: tis article is about prostate MRI image segmentation.
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Size: 1046528 |
Author: homan |
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Description: this code is a simple one_seeded region growing to segment the bones in MRI prostate images.
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Size: 2048 |
Author: homan |
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Description: histopathological grading of pathological images is used to pathological images is used to determine level of malignancy of cancerous tissues.-histopathological grading of pathological images is used to pathological images is used to determine level of malignancy of cancerous tissues.
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Size: 1167360 |
Author: jincy |
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Description: Histological grading of pathological images is used to
determine level of malignancy of cancerous tissues. This is a very
important task in prostate cancer prognosis, since it is used for
treatment planning. If infection of cancer is not rejected by noninvasive
diagnostic techniques like magnetic resonance imaging,
computed tomography scan, and ultrasound, then biopsy specimens
of tissue are tested
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Size: 360448 |
Author: jincy |
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Description: Accurate grading for prostatic carcinoma in pathological
images is important to prognosis and treatment planning.
Since human grading is always time-consuming and subjective,
this paper presents a computer-aided system to automatically
grade pathological images according to Gleason grading system
which is the most widespread method for histological grading
of prostate tissues.
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Size: 784384 |
Author: jincy |
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Description: 机器学习，前列腺癌症回归示例程序 -Machine learning, prostate cancer regression sample program, prostate cancer regression sample program
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Size: 677888 |
Author: 数值分析 |
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Description: 该文献是一篇基于DCE-MRI的关于前列腺癌的综述报告-Overview of Dynamic Contrast-Enhanced MRI in Prostate Cancer Diagnosis and Management
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Size: 1462272 |
Author: 丫丫 |
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Description: Fisher判别程序，这学期模式识别作业，无误，是对前列腺数据的分类。-Fisher discriminant program. This is the corsework of pattern recognition in this semester , works for the classification of the data of the prostate
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Size: 1024 |
Author: 谢玉婷 |
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Description: 感知器判别。这学期模式识别课程作业，无误。用以分类前列腺数据。-Perceptron discriminant. the course assignments of pattern recognition in this semester ,used to classify data of the prostate
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Size: 1024 |
Author: 谢玉婷 |
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Description: Nowadays prostate disease is very common in adult and elderly men. Since all types of prostate diseases are having similar
symptoms, it is difficult to diagnose malignant prostate at an early stage. In this work an attempt is made to identify the types of
prostate diseases abdomen CT images of the patients using texture analysis. Prostate region is segmented the CT
image slice. Texture features are extracted the segmented images using an evolving transform named Sequency based
Mapped Real Transform (SMRT). Six different SMRT feature sets are derived by varying sub image size and block size. Each
feature set is optimized using Genetic Algorithm (GA).-Nowadays prostate disease is very common in adult and elderly men. Since all types of prostate diseases are having similar
symptoms, it is difficult to diagnose malignant prostate at an early stage. In this work an attempt is made to identify the types of
prostate diseases abdomen CT images of the patients using texture analysis. Prostate region is segmented the CT
image slice. Texture features are extracted the segmented images using an evolving transform named Sequency based
Mapped Real Transform (SMRT). Six different SMRT feature sets are derived by varying sub image size and block size. Each
feature set is optimized using Genetic Algorithm (GA).
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Size: 387072 |
Author: Merin Iliparambil |
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Description: 前列腺癌磁共振影像的自动诊断，基于CNN模型(The automatic diagnosis of prostate cancer, based on CNN model)
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Size: 26624 |
Author: mickey01
|
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