Search Results for author:
Found 5 papers, 1 papers with code
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features
Histopathology images contain essential information for medical diagnosis and prognosis of cancerous disease.
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
Ultrasound imaging is a standard examination during pregnancy that can be used for measuring specific biometric parameters towards prenatal diagnosis and estimating gestational age.
Liver segmentation in CT images using three dimensional to two dimensional fully convolutional network
The need for CT scan analysis is growing for pre-diagnosis and therapy of abdominal organs.
Liver Segmentation in Abdominal CT Images by Adaptive 3D Region Growing
In this paper, we propose an adaptive 3D region growing with subject-specific conditions.
Dense Pooling layers in Fully Convolutional Network for Skin Lesion Segmentation
One of the essential tasks in medical image analysis is segmentation and accurate detection of borders.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
