A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images

no code implementations • 14 Nov 2018 • Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen

Automatic segmentation of left ventricle (LV) myocardium in cardiac short-axis cine MR images acquired on subjects with myocardial infarction is a challenging task, mainly because of the various types of image inhomogeneity caused by the infarctions.

Myocardium Segmentation

A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions

no code implementations • 11 Nov 2018 • Bo Zhou, Randolph Crawford, Belma Dogdas, Gregory Goldmacher, Antong Chen

For routine clinical use, and in clinical trials that apply the Response Evaluation Criteria In Solid Tumors (RECIST), clinicians typically outline the boundaries of a lesion on a single slice to extract diameter measurements.

Lesion Segmentation Segmentation

Classification of Protein Crystallization X-Ray Images Using Major Convolutional Neural Network Architectures

no code implementations • 11 May 2018 • Soheil Ghafurian, Peter Orth, Corey Strickland, Hua Su, Sangita Patel, Steven Soisson, Belma Dogdas

We showed that substantial classification accuracy is gained by using such networks compared to two simpler ones previously proposed for this purpose.

General Classification