3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs

Article Computer Science, Information Systems

Image-to-Image Translation: Methods and Applications

Yingxue Pang et al.

Summary: This paper provides an overview of recent developments in image-to-image translation (I2I), analyzing the key techniques and progress made in the field. It discusses the impact of I2I on research and industry, as well as the remaining challenges in related fields.

IEEE TRANSACTIONS ON MULTIMEDIA (2022)

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Article Biochemical Research Methods

Cellpose: a generalist algorithm for cellular segmentation

Carsen Stringer et al.

Summary: Cellpose is a generalist, deep learning-based segmentation method that can precisely segment cells from various types of images without requiring retraining or parameter adjustments. It was trained on a highly diverse image dataset and supports a three-dimensional extension. Software has been developed to support community contributions to the training data.

NATURE METHODS (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Zudi Lin et al.

Summary: This paper introduces the NucMM dataset with two fully annotated volumes, significantly increasing volume size and instance numbers for the study of 3D cell nuclei segmentation. A novel hybrid-representation learning model is proposed to produce high-quality 3D masks, outperforming state-of-the-art nuclei segmentation approaches according to benchmark comparisons on the NucMM dataset. The dataset, code, and data are available on the project website for further research and development.

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT I (2021)

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Article Computer Science, Interdisciplinary Applications