For applications of volume visualization in medicine, it is important to assure that the 3D images show the true anatomical situation, or at least to know about their limitations. ...
In medical applications, sensitivity in detecting medical problems and accuracy of detection are often in conflict. A single classifier usually cannot achieve both high sensitivit...
Vineta Lai Fun Lum, Wee Kheng Leow, Ying Chen, Tet...
We propose an algorithm for the classification of fluorescence microscopy images depicting the spatial distribution of proteins within the cell. The problem is at the forefront of...
Thomas E. Merryman, Keridon Williams, Gowri Sriniv...
Voluminous medical images are generated daily. They are critical assets for medical diagnosis, research, and teaching. To facilitate automatic indexing and retrieval of large medic...
Combinations of multiple classifiers have been found to be consistently more accurate than a single classifier. The construction of multiple independent classifiers, however, is t...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...