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Penalizing small errors using an Adaptive Logarithmic Loss
v1v2 (latest)

Penalizing small errors using an Adaptive Logarithmic Loss

22 October 2019
Chaitanya Kaul
Nick E. Pears
Hang Dai
Roderick Murray-Smith
S. Manandhar
ArXiv (abs)PDFHTML

Papers citing "Penalizing small errors using an Adaptive Logarithmic Loss"

4 / 4 papers shown
Towards contrast-agnostic soft segmentation of the spinal cord
Towards contrast-agnostic soft segmentation of the spinal cord
Sandrine Bédard
E. Karthik
C. Tsagkas
E. Pravatà
Cristina Granziera
Andrew C. Smith
K. A. Weber
Julien Cohen-Adad
190
20
0
23 Oct 2023
The Fully Convolutional Transformer for Medical Image Segmentation
The Fully Convolutional Transformer for Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Athanasios Tragakis
Chaitanya Kaul
Roderick Murray-Smith
D. Husmeier
ViTMedIm
164
98
0
01 Jun 2022
SoftSeg: Advantages of soft versus binary training for image
  segmentation
SoftSeg: Advantages of soft versus binary training for image segmentation
C. Gros
A. Lemay
Julien Cohen-Adad
169
80
0
18 Nov 2020
FocusNet++: Attentive Aggregated Transformations for Efficient and
  Accurate Medical Image Segmentation
FocusNet++: Attentive Aggregated Transformations for Efficient and Accurate Medical Image Segmentation
Chaitanya Kaul
Nick E. Pears
Hang Dai
Roderick Murray-Smith
S. Manandhar
SSeg
131
6
0
04 Dec 2019
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