62 citations · 97 across the 17 of their papers we have counts for
5 papers · 1 filter
Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation
Sota Kato, Kazuhiro Hotta
Dice loss is widely used for medical image segmentation, and many improvement loss functions based on such loss have been proposed. However, further Dice loss improvements are stil…
Adversarial Mutual Leakage Network for Cell Image Segmentation
Hiroki Tsuda, Kazuhiro Hotta
We propose three segmentation methods using GAN and information leakage between generator and discriminator. First, we propose an Adversarial Training Attention Module (ATA-Module)…
Localized Feature Aggregation Module for Semantic Segmentation
Ryouichi Furukawa, Kazuhiro Hotta
We propose a new information aggregation method which called Localized Feature Aggregation Module based on the similarity between the feature maps of an encoder and a decoder. The…
Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation
Sota Kato, Kazuhiro Hotta
We propose an automatic preprocessing and ensemble learning for segmentation of cell images with low quality. It is difficult to capture cells with strong light. Therefore, the mic…
Cell image segmentation by Feature Random Enhancement Module
Takamasa Ando, Kazuhiro Hotta
It is important to extract good features using an encoder to realize semantic segmentation with high accuracy. Although loss function is optimized in training deep neural network,…