Image Segmentation
Showing 1 - 5 of 5 results-
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
- Published on: January, 2021
- Heiner Latus, Ivo Wolf, Tarique Hussain, Samir Sarikouch, Gerald Greil, Florian Ritzmann, Tyler Huffaker, Zach...
- Code Available
The model uses Unsupervised Domain Adaptation (UDA) of 3D cardiac magnetic resonance (CMR) images to transform from axial to short-axis orientation an ...
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Hierarchical 3D fully convolutional networks for multi-organ segmentation
- Published on: April, 2017
- Michitaka Fujiwara, Holger R. Roth, Hirohisa Oda1, and Kensaku Mori, Masahiro Oda, Natsuki Shimizu, Kazunari M...
- Code Available
The model demonstrates how hierarchical deployment of 3D CNN based on a fully convolutional architecture (3D U-Net) can produce competitive results fo ...
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Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
- Published on: July, 2019
- Shujun Wang, Kang Li, Chi-Wing Fu, Lequan Yu, Pheng-Ann Heng, Xin Yang
- Code Available
Accurate segmentation of the optic disc (OD) and cup (OC) in fundus images from different datasets is critical for glaucoma disease screening. The cro ...
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FracNet Rib fracture detection system based on deep learning
- Published on: December, 2020
- Jiancheng Yang, Yingli Sun, Kaiming Kuang, Hui Kang, Yiyi Gao, Liang Jin, Pan Gao, Bingbing Ni, Mingyu Tan, We...
- Code Available
Diagnosis of rib fractures plays an important role in identifying trauma severity. However, quickly and precisely identifying the rib fractures in a l ...
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Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
- Published on: October, 2018
- Faisal Mahmood, Daniel Borders, Alexander Baras, Richard Chen, Gregory N. McKay, Kevan J. Salimian, Nicholas J...
- Code Available
Nuclei segmentation is an important task for various computational pathalogy applications like nuclei morphology analysis, cell type classification an ...