arXiv:2505.04838
Seeing Cells Clearly: Evaluating Machine Vision Strategies for Microglia Centroid Detection in 3D Images
원문 초록
Microglia are important cells in the brain, and their shape can tell us a lot about brain health. In this project, I test three different tools for finding the center points of microglia in 3D microscope images. The tools include ilastik, 3D Morph, and Omnipose. I look at how well each one finds the cells and how their results compare. My findings show that each tool sees the cells in its own way, and this can affect the kind of information we get from the images.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration
LDM-Morph: Latent diffusion model guided deformable image registration
NCA-Morph: Medical Image Registration with Neural Cellular Automata
LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion
On the Feasibility of Creating Iris Periocular Morphed Images
Large Language Models for Multimodal Deformable Image Registration
토론
이 논문과 연결된 포럼 글이 아직 없습니다.