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Translating Clinical Delineation of Diabetic Foot Ulcers into Machine
  Interpretable Segmentation

Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation

22 April 2022
Connah Kendrick
B. Cassidy
Joseph M Pappachan
C. O'Shea
C. J. Fernández
Elias C. Chacko
Koshy Jacob
N. Reeves
Moi Hoon Yap
ArXivPDFHTML

Papers citing "Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation"

5 / 5 papers shown
Title
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation
B. Cassidy
Christian Mcbride
Connah Kendrick
N. Reeves
Joseph M Pappachan
Shaghayegh Raad
Moi Hoon Yap
41
0
0
07 Mar 2025
Exploring Transfer Learning in Medical Image Segmentation using
  Vision-Language Models
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
K. Poudel
Manish Dhakal
Prasiddha Bhandari
Rabin Adhikari
Safal Thapaliya
Bishesh Khanal
VLM
28
17
0
15 Aug 2023
Diabetic Foot Ulcer Grand Challenge 2022 Summary
Diabetic Foot Ulcer Grand Challenge 2022 Summary
Connah Kendrick
B. Cassidy
N. Reeves
Joseph M Pappachan
C. O'Shea
Vishnu Chandrabalan
Moi Hoon Yap
17
4
0
24 Apr 2023
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for
  Lesion Segmentation with Out-of-Distribution Robustness
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness
Adrian Galdran
G. Carneiro
M. A. G. Ballester
OOD
16
17
0
13 Sep 2022
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
429
15,595
0
02 Nov 2015
1