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药代动力学模型来检测前列腺癌
- 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
cell-get
- 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.
Prostate-Cancer-Segmentation-With-Simultaneous.ra
- comparative study of optimization approaches in markov random field model for magnetic resonance image case study.also some other techniques are studied and described
1
- 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
IJCSI-9-1-2-171-179
- 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 diffe
to_pudn
- this code is a simple one_seeded region growing to segment the bones in MRI prostate images.
sample-program
- 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
Fisher-discriminate
- 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
perceptron
- 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
LevelSetProstate
- 基于水平集的前列腺磁共振图像分割方法研究-Based on the level of prostate MR image segmentation method Sets
Neural-Network-Prostate-master
- 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)