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Matthews Correlation Coefficient Loss for Deep Convolutional Networks:
  Application to Skin Lesion Segmentation
v1v2 (latest)

Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation

IEEE International Symposium on Biomedical Imaging (ISBI), 2025
26 October 2020
Kumar Abhishek
Ghassan Hamarneh
ArXiv (abs)PDFHTMLGithub (12★)

Papers citing "Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation"

4 / 4 papers shown
Title
Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers and RNNs Trained with a New Loss Function
Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers and RNNs Trained with a New Loss Function
Pedro Seber
129
2
0
27 Feb 2024
ASTra: A Novel Algorithm-Level Approach to Imbalanced Classification
ASTra: A Novel Algorithm-Level Approach to Imbalanced Classification
David Twomey
D. Gorse
37
1
0
04 Sep 2022
A survey, review, and future trends of skin lesion segmentation and
  classification
A survey, review, and future trends of skin lesion segmentation and classification
M. Hasan
Md. Asif Ahamad
Choon Hwai Yap
Guang Yang
174
108
0
25 Aug 2022
A Survey on Deep Learning for Skin Lesion Segmentation
A Survey on Deep Learning for Skin Lesion Segmentation
Z. Mirikharaji
Kumar Abhishek
Alceu Bissoto
Catarina Barata
Sandra Avila
Eduardo Valle
M. Celebi
Ghassan Hamarneh
269
110
0
01 Jun 2022
1