Convolutional Neural Networks for Classification and Segmentation of Medical Images
Year: 2017
Type: dissertation
Abstract: 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.
Author: Patrick Ferdinand Christ
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Award: G4303815550
OpenAlex ID: W2779927442