غير محددة في المصدر
2017 بحاجة إلى مراجعة
Convolutional Neural Networks for Classification and Segmentation of Medical Images
الملخص
Automatic Detection, segmentation and classification of cancer plays an important role in the development of computer-aided diagnosis systems (CADs). This thesis investigates the application of convolutional and fully convolutional neural networks CNN/FCN for automatic detection, segmentation of liver and liver tumor in CT and MRI and classification of tumor malignancy of HCC in DW-MRI.
الكلمات المفتاحية
غير متوفر
التخصصات
رسائل وأطاريح مشابهة
- A scalable and component-based deep learning parallelism platform : an application to convolutional neural networks for medical imaging segmentation. Soulaimane Guedria · 2020
- Relaxation and restriction for medical image segmentation with convolutional neural networks Pei Wang · 2020
- Medical Image Segmentation by Deep Convolutional Neural Networks Qingbo Kang · Concordia University · 2019
- Convolutional neural networks for mammograph analysis A. Pereira · 2025
- Constrained deep networks for medical image segmentation Hoel Kervadec · 2021
- Deep Learning in Medical Image Analysis: Alzheimer’s Disease Classification & Whole Fetal Brain Segmentation. Jesús Alejandro Valdés Valdés · Tecnológico de Monterrey · 2020
