Defining the loss function is an important part of neural network design and critically determines the success of deep learning modeling. A significant shortcoming of the conventional loss functions is that they weight all regions in the input image volume equally, despite the fact that the system i...
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 11 vom: 01. Nov., Seite 13408-13421
|
|---|
| 1. Verfasser: |
Chen, Yizheng
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Yu, Lequan,
Wang, Jen-Yeu,
Panjwani, Neil,
Obeid, Jean-Pierre,
Liu, Wu,
Liu, Lianli,
Kovalchuk, Nataliya,
Gensheimer, Michael Francis,
Vitzthum, Lucas Kas,
Beadle, Beth M,
Chang, Daniel T,
Le, Quynh-Thu,
Han, Bin,
Xing, Lei |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2023
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't |
|---|